BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
data (39)
use (38)
pattern (31)
rule (23)
inform (21)

Stem discov$ (all stems)

328 papers:

ICPCICPC-2015-SchermannBPLG #commit
Discovering loners and phantoms in commit and issue data (GS, MB, SP, PL, HCG), pp. 4–14.
ICSMEICSME-2015-NagyC #fault #mining #query #sql #stack overflow
Mining Stack Overflow for discovering error patterns in SQL queries (CN, AC), pp. 516–520.
SCAMSCAM-2015-PanditaJSW #api #mining #using
Discovering likely mappings between APIs using text mining (RP, RPJ, SDS, LAW), pp. 231–240.
HCIHCI-IT-2015-TakedaBSO #behaviour #coordination #named
COLUMN: Discovering the User Invented Behaviors Through the Interpersonal Coordination (YT, SB, PRSDS, MO), pp. 787–796.
ICEISICEIS-v1-2015-ArevaloRC #approach #information management #legacy #modelling #process
Discovering Business Models for Software Process Management — An Approach for Integrating Time and Resource Perspectives from Legacy Information Systems (CA, IMR, MJEC), pp. 353–359.
ICMLICML-2015-GongZSTG
Discovering Temporal Causal Relations from Subsampled Data (MG, KZ, BS, DT, PG), pp. 1898–1906.
ICMLICML-2015-NarayanPA #metaprogramming
α-β Divergences Discover Micro and Macro Structures in Data (KSN, AP, PA), pp. 796–804.
KDDKDD-2015-KimS #scalability
Discovering Collective Narratives of Theme Parks from Large Collections of Visitors’ Photo Streams (GK, LS), pp. 1899–1908.
KDDKDD-2015-Papagiannopoulou #learning #multi
Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning (CP, GT, IT), pp. 915–924.
KDDKDD-2015-VanchinathanMRK
Discovering Valuable items from Massive Data (HPV, AM, CAR, DK, AK), pp. 1195–1204.
SEKESEKE-2015-AlencarARRB #rule-based
A Rule-based Method for Discovering Trajectory Profiles (LAdA, LOA, CR, AR, VB), pp. 244–249.
SIGIRSIGIR-2015-Pal #multi
Discovering Experts across Multiple Domains (AP), pp. 923–926.
MoDELSMoDELS-2015-LeemansA #distributed #mining #modelling #process #transaction
Process mining in software systems: Discovering real-life business transactions and process models from distributed systems (ML, WMPvdA), pp. 44–53.
SACSAC-2015-ChoobdarRS #network
Discovering weighted motifs in gene co-expression networks (SC, PMPR, FMAS), pp. 10–17.
ICSEICSE-v1-2015-PastoreM #detection #named
ZoomIn: Discovering Failures by Detecting Wrong Assertions (FP, LM), pp. 66–76.
ICSEICSE-v1-2015-PetrosyanRM #api #classification #information management #using
Discovering Information Explaining API Types Using Text Classification (GP, MPR, RDM), pp. 869–879.
SIGMODSIGMOD-2014-ShenCCDN #query #tuple
Discovering queries based on example tuples (YS, KC, SC, BD, LN), pp. 493–504.
FMFM-2014-ForejtKNS #analysis #communication #precise #predict #source code
Precise Predictive Analysis for Discovering Communication Deadlocks in MPI Programs (VF, DK, GN, SS), pp. 263–278.
CHICHI-2014-GouZY #automation #comprehension #social #social media
KnowMe and ShareMe: understanding automatically discovered personality traits from social media and user sharing preferences (LG, MXZ, HY), pp. 955–964.
ICMLICML-c2-2014-LindermanA #network #process
Discovering Latent Network Structure in Point Process Data (SWL, RPA), pp. 1413–1421.
ICPRICPR-2014-ChironGM #behaviour #parametricity #using
Discovering Emergent Behaviors from Tracks Using Hierarchical Non-parametric Bayesian Methods (GC, PGK, MM), pp. 2185–2190.
ICPRICPR-2014-NegiBC #topic
Discovering User-Communities and Associated Topics from YouTube (SN, RB, SC), pp. 1958–1963.
ICPRICPR-2014-SicreJ #classification #image
Discovering and Aligning Discriminative Mid-level Features for Image Classification (RS, FJ), pp. 1975–1980.
KDDKDD-2014-HuHA #e-commerce #modelling #scalability #social
Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce (DJH, RH, JA), pp. 1640–1649.
KDIRKDIR-2014-DomeniconiMMP #ontology #random
Discovering New Gene Functionalities from Random Perturbations of Known Gene Ontological Annotations (GD, MM, GM, PP), pp. 107–116.
KDIRKDIR-2014-FontanaRZ
Discover Knowledge on FLOSS Projects Through RepoFinder (FAF, RR, MZ), pp. 485–491.
KMISKMIS-2014-FrancoisMA #communication #design #email #problem #traceability #using
Discovering Problem-Solving Knowledge in Business Emails — Traceability in Software Design Using Computer Mediated Communication (RF, NM, HA), pp. 186–193.
SEKESEKE-2014-DagninoC #industrial
Industrial Analytics to Discover Knowledge from Instrumented Networked Machines (AD, DC), pp. 86–89.
SIGIRSIGIR-2014-WangariZA #case study #interface #multimodal
Discovering real-world use cases for a multimodal math search interface (KDVW, RZ, AA), pp. 947–950.
RERE-2014-SutcliffeRBS #requirements
Discovering affect-laden requirements to achieve system acceptance (AS, PR, CNB, PS), pp. 173–182.
SACSAC-2014-MehdiIHKDS #keyword
Utilizing domain-specific keywords for discovering public SPARQL endpoints: a life-sciences use-case (MM, AI, AH, YK, SD, RS), pp. 333–335.
FSEFSE-2014-MazinanianTM #css #refactoring
Discovering refactoring opportunities in cascading style sheets (DM, NT, AM), pp. 496–506.
HTHT-2013-AntunovicCTA #interactive #semantics #web
Discovering semantic associations from web search interactions (MA, GC, MT, HA), pp. 202–207.
SIGMODSIGMOD-2013-ArenasDNUBV #xml
Discovering XSD keys from XML data (MA, JD, FN, MU, JVdB, SV), pp. 61–72.
VLDBVLDB-2013-ChuIP #constraints
Discovering Denial Constraints (XC, IFI, PP), pp. 1498–1509.
VLDBVLDB-2013-HassanzadehPYMPHH #web
Discovering Linkage Points over Web Data (OH, KQP, SHY, RJM, LP, MAH, HH), pp. 444–456.
VLDBVLDB-2013-LiUYG #correlation #database #sequence
Discovering Longest-lasting Correlation in Sequence Databases (YL, LHU, MLY, ZG), pp. 1666–1677.
VLDBVLDB-2013-MansourEKAA #named #parallel #scalability #sequence
RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences (EM, AER, PK, AA, AA), pp. 865–876.
FASEFASE-2013-LeoniDG #branch #execution #process
Discovering Branching Conditions from Business Process Execution Logs (MdL, MD, LGB), pp. 114–129.
FASEFASE-2013-SanthiarPK #api #mining #testing
Discovering Math APIs by Mining Unit Tests (AS, OP, AK), pp. 327–342.
ICSMEICSM-2013-CastrejonVCL #maintenance #named #persistent
ExSchema: Discovering and Maintaining Schemas from Polyglot Persistence Applications (JCC, GVS, CC, RL), pp. 496–499.
MSRMSR-2013-NistorJT #debugging #performance
Discovering, reporting, and fixing performance bugs (AN, TJ, LT), pp. 237–246.
WCREWCRE-2013-MaffortVBAH #architecture #heuristic
Heuristics for discovering architectural violations (CAM, MTV, MAdSB, NA, AH), pp. 222–231.
CAiSECAiSE-2013-MaggiBA #approach #knowledge-based
A Knowledge-Based Integrated Approach for Discovering and Repairing Declare Maps (FMM, RPJCB, WMPvdA), pp. 433–448.
ICEISICEIS-v3-2013-LambeckKG #bibliography #case study #design #enterprise #interface #testing
Discovering Potentials in Enterprise Interface Design — A Review of Our Latest Case Studies in the Enterprise Domain (CL, DK, RG), pp. 99–104.
ICEISICEIS-v3-2013-SzirbikB #architecture #network
Discovering the EIS Architecture that Supports Hub-and-Spoke Freight Transportation Networks Operating in a Cross Dock Mode (NBS, PB), pp. 388–395.
CIKMCIKM-2013-ChanLKLBR #graph #matrix #using
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation (JC, WL, AK, CL, JB, KR), pp. 811–816.
CIKMCIKM-2013-ChenMLHCG #topic #using
Discovering coherent topics using general knowledge (ZC, AM, BL, MH, MC, RG), pp. 209–218.
CIKMCIKM-2013-MengK #network
Discovering influential authors in heterogeneous academic networks by a co-ranking method (QM, PJK), pp. 1029–1036.
ICMLICML-c2-2013-DasBBG #automation #modelling #topic
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically (MKD, SB, CB, KG), pp. 253–261.
KDDKDD-2013-IwataSG #online #process #social
Discovering latent influence in online social activities via shared cascade poisson processes (TI, AS, ZG), pp. 266–274.
KDDKDD-2013-YuanCMSM #topic #twitter #what
Who, where, when and what: discover spatio-temporal topics for twitter users (QY, GC, ZM, AS, NMT), pp. 605–613.
MLDMMLDM-2013-CarvalhoR #bibliography #nondeterminism #perspective
Discovering Frequent Itemsets on Uncertain Data: A Systematic Review (JVdC, DDR), pp. 390–404.
MLDMMLDM-2013-LiM #community #mining #network #topic
Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.
SACSAC-2013-AhmedE #network #trust
Discovering influential nodes from trust network (SA, CIE), pp. 121–128.
SACSAC-2013-Gaggi
Discovering local attractions from geo-tagged photos (OG), pp. 730–735.
SACSAC-2013-KhaniHAB #algorithm #clustering #semistructured data #set
An algorithm for discovering clusters of different densities or shapes in noisy data sets (FK, MJH, AAA, HB), pp. 144–149.
SACSAC-2013-LeoniA #mining #process #using
Data-aware process mining: discovering decisions in processes using alignments (MdL, WMPvdA), pp. 1454–1461.
SACSAC-2013-TsukudaOYIT #analysis #coordination
Discovering unexpected information on the basis of popularity/unpopularity analysis of coordinate objects and their relationships (KT, HO, MY, HI, KT), pp. 878–885.
ICSEICSE-2013-RigbyR #documentation
Discovering essential code elements in informal documentation (PCR, MPR), pp. 832–841.
DRRDRR-2012-LiMV #visual notation
Quantify spatial relations to discover handwritten graphical symbols (JL, HM, CVG).
VLDBVLDB-2012-NakasholeWS #web
Discovering and Exploring Relations on the Web (NN, GW, FMS), pp. 1982–1985.
VLDBVLDB-2012-ZhaoRGH #approach #integration
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration (BZ, BIPR, JG, JH), pp. 550–561.
MSRMSR-2012-NguyenK #api #mutation testing #testing
Discovering complete API rules with mutation testing (ACN, SCK), pp. 151–160.
CIKMCIKM-2012-AnHS #learning #ontology #web
Learning to discover complex mappings from web forms to ontologies (YA, XH, IYS), pp. 1253–1262.
CIKMCIKM-2012-BauckmannALMN #dependence
Discovering conditional inclusion dependencies (JB, ZA, UL, HM, FN), pp. 2094–2098.
CIKMCIKM-2012-CuiZLMZ #twitter
Discover breaking events with popular hashtags in twitter (AC, MZ, YL, SM, KZ), pp. 1794–1798.
CIKMCIKM-2012-GangadharaiahC #named
PriSM: discovering and prioritizing severe technical issues from product discussion forums (RG, RC), pp. 1627–1631.
CIKMCIKM-2012-LiuQCH #logic
Discovering logical knowledge for deep question answering (ZL, XQ, LC, XH), pp. 1920–1924.
CIKMCIKM-2012-LvCC #semantics
Discovering personally semantic places from GPS trajectories (ML, LC, GC), pp. 1552–1556.
CIKMCIKM-2012-NguyenNMF #clustering #wiki
Clustering Wikipedia infoboxes to discover their types (THN, HDN, VM, JF), pp. 2134–2138.
CIKMCIKM-2012-WienbergG #named
PhotoFall: discovering weblog stories through photographs (CW, ASG), pp. 2575–2578.
ICMLICML-2012-ZhaiTTO
Discovering Support and Affiliated Features from Very High Dimensions (YZ, MT, IWT, YSO), p. 226.
ICPRICPR-2012-DeyG #behaviour #consistency #topic #twitter
Discovering regular and consistent behavioral patterns in topical tweeting (LD, BG), pp. 3464–3467.
ICPRICPR-2012-TuiaMVFR #classification #image
Discovering relevant spatial filterbanks for VHR image classification (DT, MDM, MV, RF, AR), pp. 3212–3215.
KDDKDD-2012-AndersonHKL #case study #community #process #stack overflow
Discovering value from community activity on focused question answering sites: a case study of stack overflow (AA, DPH, JMK, JL), pp. 850–858.
KDDKDD-2012-Compton #experience
Experience with discovering knowledge by acquiring it (PC), p. 814.
KDDKDD-2012-TangLS #dependence
Discovering lag intervals for temporal dependencies (LT, TL, LS), pp. 633–641.
KDDKDD-2012-YuanZX #using
Discovering regions of different functions in a city using human mobility and POIs (JY, YZ, XX), pp. 186–194.
KEODKEOD-2012-KotowskiS #approach #library #ontology
Ontology Library — A New Approach for Storing, Searching and Discovering Ontologies (DK, DAS), pp. 271–277.
KMISKMIS-2012-LiLA #chat
Discovering Virtual Interest Groups across Chat Rooms (HL, JL, RA), pp. 152–157.
MLDMMLDM-2012-SiLQD #web
Discovering K Web User Groups with Specific Aspect Interests (JS, QL, TQ, XD), pp. 321–335.
RecSysRecSys-2012-Manzato #recommendation
Discovering latent factors from movies genres for enhanced recommendation (MGM), pp. 249–252.
SACSAC-2012-ChenGZG #metric #network #similarity #using
Discovering missing links in networks using vertex similarity measures (HHC, LG, X(Z, CLG), pp. 138–143.
SACSAC-2012-FerrariGT #approach #clustering #requirements #specification
A clustering-based approach for discovering flaws in requirements specifications (AF, SG, GT), pp. 1043–1050.
SACSAC-2012-FlorezD #interactive #process #video
Discovering activity interactions in a single pass over a video stream (OUF, CED), pp. 819–826.
SACSAC-2012-ZimmermannNSSK
Discovering global and local bursts in a stream of news (MZ, IN, ZFS, MS, HPK), pp. 807–812.
ICSEICSE-2012-NguyenKWF #array #dynamic analysis #invariant #polynomial #using
Using dynamic analysis to discover polynomial and array invariants (TN, DK, WW, SF), pp. 683–693.
ICSEICSE-2012-SongPF #interactive #named #using
iTree: Efficiently discovering high-coverage configurations using interaction trees (CS, AP, JSF), pp. 903–913.
ISSTAISSTA-2012-AlkhalafCFBOK #analysis #consistency #difference #named #nondeterminism #string #validation
ViewPoints: differential string analysis for discovering client- and server-side input validation inconsistencies (MA, SRC, MF, TB, AO, CK), pp. 56–66.
ICDARICDAR-2011-ZhangLSZ #documentation
Discovering Legible Chinese Typefaces for Reading Digital Documents (BZ, YL, CYS, XZ), pp. 962–966.
ITiCSEITiCSE-2011-Cervesato #logic
Discovering logic through comics (IC), pp. 103–107.
CSCWCSCW-2011-Murphy-HillM #effectiveness #interactive #tool support
Peer interaction effectively, yet infrequently, enables programmers to discover new tools (ERMH, GCM), pp. 405–414.
CSCWCSCW-2011-ShamiMM #enterprise #social
Browse and discover: social file sharing in the enterprise (NSS, MJM, DRM), pp. 295–304.
CIKMCIKM-2011-BaiCJ #feedback
Discovering URLs through user feedback (XB, BBC, FPJ), pp. 77–86.
CIKMCIKM-2011-KamathC
Discovering trending phrases on information streams (KYK, JC), pp. 2245–2248.
CIKMCIKM-2011-KargarA #network #social
Discovering top-k teams of experts with/without a leader in social networks (MK, AA), pp. 985–994.
CIKMCIKM-2011-NambiarFSNR #realtime
Discovering customer intent in real-time for streamlining service desk conversations (UN, TAF, LVS, SN, GR), pp. 1383–1388.
CIKMCIKM-2011-PeelWZ #string #using
Collection-based compression using discovered long matching strings (AP, AW, JZ), pp. 2361–2364.
CIKMCIKM-2011-SachanCFS #community #network #probability #social #topic
Probabilistic model for discovering topic based communities in social networks (MS, DC, TAF, LVS), pp. 2349–2352.
CIKMCIKM-2011-YiA #query #web
Discovering missing click-through query language information for web search (XY, JA), pp. 153–162.
ECIRECIR-2011-TackstromM #fine-grained #modelling #predict #sentiment
Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models (OT, RTM), pp. 368–374.
KDDKDD-2011-El-AriniG #keyword
Beyond keyword search: discovering relevant scientific literature (KEA, CG), pp. 439–447.
KDDKDD-2011-JinLA #graph #nondeterminism #reliability
Discovering highly reliable subgraphs in uncertain graphs (RJ, LL, CCA), pp. 992–1000.
KDDKDD-2011-LiuZCYX #data type #interactive
Discovering spatio-temporal causal interactions in traffic data streams (WL, YZ, SC, JY, XX), pp. 1010–1018.
KDDKDD-2011-ShiFZY #evolution #graph
Discovering shakers from evolving entities via cascading graph inference (XS, WF, JZ, PSY), pp. 1001–1009.
KDIRKDIR-2011-GuoK #ontology #research #using
Discovering Relationship Associations from the Literature Related to Research Projects in Sustainability Science using Ontology and Inference (WG, SBK), pp. 390–393.
KDIRKDIR-2011-OlegA #analysis #approach #clustering
Methods for Discovering and Analysis of Regularities Systems — Approach based on Optimal Partitioning of Explanatory Variables Space (OVS, AVK), pp. 423–426.
KMISKMIS-2011-RamosSB #process
A Method for Discovering the Relevance of External Context Variables to Business Processes (ECR, FMS, FAB), pp. 399–408.
MLDMMLDM-2011-HuangH
Discovering Text Patterns by a New Graphic Model (MH, RMH), pp. 428–442.
REFSQREFSQ-2011-MahauxHS #case study #experience #requirements
Discovering Sustainability Requirements: An Experience Report (MM, PH, GS), pp. 19–33.
SACSAC-2011-Al-ZaidyFY #community #towards
Towards discovering criminal communities from textual data (RAZ, BCMF, AMY), pp. 172–177.
SACSAC-2011-DattoloEM #approach #semantics
An integrated approach to discover tag semantics (AD, DE, LM), pp. 814–820.
ICSEICSE-2011-Sultanov #documentation #proximity #requirements
Requirements tracing: discovering related documents through artificial pheromones and term proximity (HS), pp. 1173–1175.
DRRDRR-2010-KnoblockCCGMS #approach
A general approach to discovering, registering, and extracting features from raster maps (CAK, CCC, YYC, AG, MM, CS), pp. 1–10.
CHICHI-2010-MullerMF #enterprise
Patterns of usage in an enterprise file-sharing service: publicizing, discovering, and telling the news (MJM, DRM, JF), pp. 763–766.
CIKMCIKM-2010-BamisFS #component
A method for discovering components of human rituals from streams of sensor data (AB, JF, AS), pp. 779–788.
CIKMCIKM-2010-JinW #concept #ranking
Discovering, ranking and annotating cross-document relationships between concepts (WJ, XW), pp. 1929–1930.
KDDKDD-2010-BhaskarLST
Discovering frequent patterns in sensitive data (RB, SL, AS, AT), pp. 503–512.
KDDKDD-2010-FangNF
Discovering significant relaxed order-preserving submatrices (QF, WN, JF), pp. 433–442.
KDDKDD-2010-ZouGL #database #graph #nondeterminism #probability #semantics
Discovering frequent subgraphs over uncertain graph databases under probabilistic semantics (ZZ, HG, JL), pp. 633–642.
KDIRKDIR-2010-KaiserSB #approach #fuzzy #network #online #social
Discovering Critical Situations in Online Social Networks — A Neuro Fuzzy Approach to Alert Marketing Managers (CK, SS, FB), pp. 56–64.
SEKESEKE-2010-WangWLX #developer
Assisting Developers to Read Code Help-Documents Efficiently through Discovering Document-section Relationships (LW, LW, GL, BX), pp. 367–373.
SIGIRSIGIR-2010-YiA #approach #web
A content based approach for discovering missing anchor text for web search (XY, JA), pp. 427–434.
MODELSMoDELS-v1-2010-GoldsbyC #automation #behaviour #modelling #uml
Automatically Discovering Properties That Specify the Latent Behavior of UML Models (HG, BHCC), pp. 316–330.
SACSAC-2010-ChengSMZ #data mining #database #integration #mining #named #online
PROM-OOGLE: data mining and integration of on-line databases to discover gene promoters (DC, JS, MMP, ORZ), pp. 1547–1551.
SACSAC-2010-RibeiroS #data type #named #network #performance
g-tries: an efficient data structure for discovering network motifs (PMPR, FMAS), pp. 1559–1566.
SACSAC-2010-SuYT #music #novel #recommendation
A novel music recommender by discovering preferable perceptual-patterns from music pieces (JHS, HHY, VST), pp. 1924–1928.
ICSEICSE-2010-BegelKZ #named #repository
Codebook: discovering and exploiting relationships in software repositories (AB, YPK, TZ), pp. 125–134.
VMCAIVMCAI-2010-ChenMWC #abstract domain #linear
An Abstract Domain to Discover Interval Linear Equalities (LC, AM, JW, PC), pp. 112–128.
ICDARICDAR-2009-BharathM #clustering #framework
A Framework Based on Semi-Supervised Clustering for Discovering Unique Writing Styles (AB, SM), pp. 891–895.
ICDARICDAR-2009-WangBA #automation #documentation #using
Document Content Extraction Using Automatically Discovered Features (SYW, HSB, CA), pp. 1076–1080.
VLDBVLDB-2009-MindolinC
Discovering Relative Importance of Skyline Attributes (DM, JC), pp. 610–621.
CSMRCSMR-2009-MihanceaM #comprehension
Discovering Comprehension Pitfalls in Class Hierarchies (PFM, RM), pp. 7–16.
WCREWCRE-1999-Perez-CastilloGCPP99a #database #named #relational #reverse engineering #web #web service
PRECISO: A Reverse Engineering Tool to Discover Web Services from Relational Databases (RPC, IGRdG, IC, MP, MP), pp. 309–310.
HCIHIMI-II-2009-ChanLLH #mobile #requirements #user interface
Discovering User Interface Requirements of Search Results for Mobile Clients by Contextual Inquiry (DLC, RWPL, HVL, EKSH), pp. 365–374.
CAiSECAiSE-2009-TrckaAS #anti #data flow #fault #workflow
Data-Flow Anti-patterns: Discovering Data-Flow Errors in Workflows (NT, WMPvdA, NS), pp. 425–439.
CIKMCIKM-2009-AnWZH #database #scalability
Diverging patterns: discovering significant frequency change dissimilarities in large databases (AA, QW, JZ, XH), pp. 1473–1476.
CIKMCIKM-2009-SongC #dependence
Discovering matching dependencies (SS, LC), pp. 1421–1424.
ECIRECIR-2009-KurashimaFO #case study #experience #scalability
Discovering Association Rules on Experiences from Large-Scale Blog Entries (TK, KF, HO), pp. 546–553.
ICMLICML-2009-DeodharGGCD #clustering #framework #scalability #semistructured data
A scalable framework for discovering coherent co-clusters in noisy data (MD, GG, JG, HC, ISD), pp. 241–248.
ICMLICML-2009-ZangZMI
Discovering options from example trajectories (PZ, PZ, DM, CLIJ), pp. 1217–1224.
KDIRKDIR-2009-GuoK #ontology #using
Discovering Relationship Associations in Life Sciences using Ontology and Inference (WG, SBK), pp. 10–17.
KDIRKDIR-2009-KiranR #approach
An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules (RUK, PKR), pp. 43–52.
MLDMMLDM-2009-Hoppner #how #question
How Much True Structure Has Been Discovered? (FH), pp. 385–397.
SIGIRSIGIR-2009-JinW #named #ranking
CDPRanking: discovering and ranking cross-document paths between entities (WJ, XW), p. 844.
SIGIRSIGIR-2009-ZieglerJ #web
Leveraging sources of collective wisdom on the web for discovering technology synergies (CNZ, SJ), pp. 548–555.
MODELSMoDELS-2009-ChenouardJ #automation #constraints
Automatically Discovering Hidden Transformation Chaining Constraints (RC, FJ), pp. 92–106.
MODELSMoDELS-2009-ChenouardJ #automation #constraints
Automatically Discovering Hidden Transformation Chaining Constraints (RC, FJ), pp. 92–106.
SACSAC-2009-NecaskyM #query #xml
Discovering XML keys and foreign keys in queries (MN, IM), pp. 632–638.
ICSEICSE-2009-KimN #representation
Discovering and representing systematic code changes (MK, DN), pp. 309–319.
ASEASE-2008-FluriGG
Discovering Patterns of Change Types (BF, EG, HCG), pp. 463–466.
SIGMODSIGMOD-2008-FengFN #order #ranking
Discovering bucket orders from full rankings (JF, QF, WN), pp. 55–66.
SIGMODSIGMOD-2008-WuRSM #database #topic
Discovering topical structures of databases (WW, BR, YS, RM), pp. 1019–1030.
VLDBVLDB-2008-ChiangM #quality
Discovering data quality rules (FC, RJM), pp. 1166–1177.
VLDBVLDB-2008-NezhadBSCA #process
Process spaceship: discovering and exploring process views from event logs in data spaces (HRMN, BB, RSP, FC, PA), pp. 1412–1415.
WCREWCRE-2008-VaucherSV #object-oriented
Discovering New Change Patterns in Object-Oriented Systems (SV, HAS, JGV), pp. 37–41.
PLDIPLDI-2008-HalbwachsP #array #source code
Discovering properties about arrays in simple programs (NH, MP), pp. 339–348.
CHICHI-2008-WangPQSMS #health
Aligning temporal data by sentinel events: discovering patterns in electronic health records (TDW, CP, AJQ, RS, SNM, BS), pp. 457–466.
ICEISICEIS-AIDSS-2008-FolinoGGP #modelling #multi #process
Discovering Multi-Perspective Process Models (FF, GG, AG, LP), pp. 70–77.
ICEISICEIS-AIDSS-2008-GocB #sequence
Discovering Expert’s Knowledge from Sequences of Discrete Event Class Occurrences (MLG, NB), pp. 253–260.
ICEISICEIS-DISI-2008-GroppeL #query #satisfiability #xpath
Discovering Veiled Unsatisfiable Xpath Queries (JG, VL), pp. 149–158.
ICEISICEIS-J-2008-FolinoGGP08a #modelling #multi #process
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes (FF, GG, AG, LP), pp. 130–143.
CIKMCIKM-2008-GoyalBL #community
Discovering leaders from community actions (AG, FB, LVSL), pp. 499–508.
KDDKDD-2008-JensenFTM #automation #design #identification
Automatic identification of quasi-experimental designs for discovering causal knowledge (DDJ, ASF, BJT, MEM), pp. 372–380.
SEKESEKE-2008-WuSF #clustering #mining #re-engineering
Discovering Meaningful Clusters from Mining the Software Engineering Literature (YW, HPS, LF), pp. 613–618.
SIGIRSIGIR-2008-BenderskyC #concept #query
Discovering key concepts in verbose queries (MB, WBC), pp. 491–498.
RERE-2008-MavinNWML #requirements #using
Using Scenarios to Discover Requirements for Engine Control Systems (AM, MN, PW, NAMM, PL), pp. 235–240.
REFSQREFSQ-2008-ZachosMH #question #requirements #specification #web #web service
Discovering Web Services to Improve Requirements Specifications: Does It Help? (KZ, NAMM, RHM), pp. 168–182.
SACSAC-2008-AntonyBHP #approach #biology #interactive #mining #using #validation
Computational approach to biological validation of protein-protein interactions discovered using literature mining (AA, SB, SH, MJP), pp. 1302–1306.
SACSAC-2008-MengleGP #category theory #classification #using
Discovering relationships among categories using misclassification information (SSRM, NG, AP), pp. 932–937.
SACSAC-2008-PalmaBKA #approach #clustering
A clustering-based approach for discovering interesting places in trajectories (ATP, VB, BK, LOA), pp. 863–868.
WICSAWICSA-2007-BassNWZ #architecture
Risk Themes Discovered through Architecture Evaluations (LB, RLN, WW, DZ), p. 1.
ICSMEICSM-2007-SiyCRS #developer #segmentation #version control
Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation (HPS, PC, DJR, MS), pp. 415–424.
PASTEPASTE-2007-ZhangR #dependence
Discovering accurate interclass test dependences (WZ, BGR), pp. 55–62.
WCREWCRE-2007-Marinescu #constraints #enterprise
Discovering the Objectual Meaning of Foreign Key Constraints in Enterprise Applications (CM), pp. 100–109.
SASSAS-2007-CalcagnoDOY #analysis
Footprint Analysis: A Shape Analysis That Discovers Preconditions (CC, DD, PWO, HY), pp. 402–418.
CHICHI-2007-KalnikaiteW #memory management #people #why
Software or wetware?: discovering when and why people use digital prosthetic memory (VK, SW), pp. 71–80.
CAiSECAiSE-2007-RodunerL #information management
Publishing and Discovering Information and Services for Tagged Products (CR, ML), pp. 501–515.
CAiSECAiSE-2007-ZachosMZJ #requirements #web #web service
Discovering Web Services to Specify More Complete System Requirements (KZ, NAMM, XZ, SJ), pp. 142–157.
CIKMCIKM-2007-DonZGTACSP #mining #visualisation
Discovering interesting usage patterns in text collections: integrating text mining with visualization (AD, EZ, MG, ST, LA, TC, BS, CP), pp. 213–222.
CIKMCIKM-2007-JurczykA #analysis #community #using
Discovering authorities in question answer communities by using link analysis (PJ, EA), pp. 919–922.
KDDKDD-2007-ChopraTLCL #parametricity
Discovering the hidden structure of house prices with a non-parametric latent manifold model (SC, TT, JL, AC, YL), pp. 173–182.
MLDMMLDM-2007-Armengol
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds (EA), pp. 756–769.
MLDMMLDM-2007-WuLLY #documentation #xml
Discovering Relations Among Entities from XML Documents (YW, QL, WL, HY), pp. 899–910.
SIGIRSIGIR-2007-ShahM #information management #named
DiscoverInfo: a tool for discovering information with relevance and novelty (CS, GM), p. 902.
RERE-2007-ConejeroHMA #requirements #using
Discovering Volatile and Aspectual Requirements Using a Crosscutting Pattern (JMC, JH, AMDM, JA), pp. 391–392.
RERE-2007-GandhiL #assessment #certification #comprehension #correlation #multi #requirements #risk management
Discovering and Understanding Multi-dimensional Correlations among Certification Requirements with application to Risk Assessment (RAG, SWL), pp. 231–240.
RERE-2007-MaidenNKSG #requirements
Exploring Scenario Forms and Ways of Use to Discover Requirements on Airports that Minimize Environmental Impact (NAMM, CN, SK, NS, PG), pp. 29–38.
SACSAC-2007-LauwLP
TUBE (Text-cUBE) for discovering documentary evidence of associations among entities (HWL, EPL, HP), pp. 824–828.
WCREWCRE-2006-GanesanMKY #aspect-oriented #case study #product line #source code
Discovering Organizational Aspects from the Source Code History Log during the Product Line Planning Phase — A Case Study (DG, DM, JK, KY), pp. 211–220.
CAiSECAiSE-2006-DourdasZMJZ #query #requirements
Discovering Remote Software Services that Satisfy Requirements: Patterns for Query Reformulation (ND, XZ, NAMM, SJ, KZ), pp. 239–254.
ICEISICEIS-AIDSS-2006-HuynhGB #clustering #metric
Discovering the Stable Clusters between Interestingness Measures (HXH, FG, HB), pp. 196–201.
CIKMCIKM-2006-MichelBNTWZ #keyword
Discovering and exploiting keyword and attribute-value co-occurrences to improve P2P routing indices (SM, MB, NN, PT, GW, CZ), pp. 172–181.
ECIRECIR-2006-NaughtonKC #clustering
Clustering Sentences for Discovering Events in News Articles (MN, NK, JC), pp. 535–538.
ICPRICPR-v2-2006-LiuCC #analysis #image #layout
Latent Layout Analysis for Discovering Objects in Images (DL, DC, TC), pp. 468–471.
ICPRICPR-v2-2006-QinWHG #automation #classification
Unsupervised Texture Classification: Automatically Discover and Classify Texture Patterns (LQ, WW, QH, WG), pp. 433–436.
KDDKDD-2006-GaoGEJ #clustering
Discovering significant OPSM subspace clusters in massive gene expression data (BJG, OLG, ME, SJMJ), pp. 922–928.
KDDKDD-2006-GionisMPU #algorithm #order
Algorithms for discovering bucket orders from data (AG, HM, KP, AU), pp. 561–566.
KDDKDD-2006-Webb
Discovering significant rules (GIW), pp. 434–443.
KDDKDD-2006-XinSMH #feedback #interactive
Discovering interesting patterns through user’s interactive feedback (DX, XS, QM, JH), pp. 773–778.
SACSAC-2006-PappalardoT #automation #design pattern
Automatically discovering design patterns and assessing concern separations for applications (GP, ET), pp. 1591–1596.
ICSEICSE-2006-BruntinkDT #exception #fault
Discovering faults in idiom-based exception handling (MB, AvD, TT), pp. 242–251.
ICSEICSE-2006-CsallnerS #interface #invariant
Dynamically discovering likely interface invariants (CC, YS), pp. 861–864.
ASEASE-2005-AgarwalSWS #concurrent #detection #runtime #using
Optimized run-time race detection and atomicity checking using partial discovered types (RA, AS, LW, SDS), pp. 233–242.
ICDARICDAR-2005-FengHG #approach #learning #semantics #web
A Learning Approach to Discovering Web Page Semantic Structures (JF, PH, MG), pp. 1055–1059.
VLDBVLDB-2005-GibsonKT #graph #scalability
Discovering Large Dense Subgraphs in Massive Graphs (DG, RK, AT), pp. 721–732.
CSMRCSMR-2005-ArevaloDN #dependence
Discovering Unanticipated Dependency Schemas in Class Hierarchies (GA, SD, ON), pp. 62–71.
CIKMCIKM-2005-ZhangGLTW
Discovering strong skyline points in high dimensional spaces (ZZ, XG, HL, AKHT, NW), pp. 247–248.
KDDKDD-2005-JinWPPA #dataset #graph
Discovering frequent topological structures from graph datasets (RJ, CW, DP, SP, GA), pp. 606–611.
KDDKDD-2005-MeiZ #mining
Discovering evolutionary theme patterns from text: an exploration of temporal text mining (QM, CZ), pp. 198–207.
SACSAC-2005-LiY #classification #predict #recursion #using
Using recursive classification to discover predictive features (FL, YY), pp. 1054–1058.
SACSAC-2005-McPhersonMO #clustering #graph #parametricity #social
Discovering parametric clusters in social small-world graphs (JM, KLM, MO), pp. 1231–1238.
SACSAC-2005-PlakeHL #interactive #optimisation #syntax
Optimizing syntax patterns for discovering protein-protein interactions (CP, JH, UL), pp. 195–201.
ESEC-FSEESEC-FSE-2005-SchmerlGY #architecture
Dynamically discovering architectures with DiscoTect (BRS, DG, HY), pp. 103–106.
SIGMODSIGMOD-2004-LeeDDHD #database #named
iMAP: Discovering Complex Mappings between Database Schemas (RD, YL, AD, AYH, PMD), pp. 383–394.
VLDBVLDB-2004-HalaschekAAS #ranking #rdf #scalability #semantics
Discovering and Ranking Semantic Associations over a Large RDF Metabase (CHW, BAM, IBA, APS), pp. 1317–1320.
CIKMCIKM-2004-ZhaoBMK #xml
Discovering frequently changing structures from historical structural deltas of unordered XML (QZ, SSB, MKM, YK), pp. 188–197.
KDDKDD-2004-HeCH #approach #correlation #interface #mining #query #web
Discovering complex matchings across web query interfaces: a correlation mining approach (BH, KCCC, JH), pp. 148–157.
KDDKDD-2004-Hooker04a #black box
Discovering additive structure in black box functions (GH), pp. 575–580.
KRKR-2004-Lin #invariant
Discovering State Invariants (FL), pp. 536–544.
SEKESEKE-2004-BuchnerBHP #comparison #information management
Contextual Comparison of Discovered Knowledge Patterns (AGB, MB, JGH, DWP), pp. 388–391.
SIGIRSIGIR-2004-Leuski #email #people
Email is a stage: discovering people roles from email archives (AL), pp. 502–503.
SIGIRSIGIR-2004-Sun #comprehension #representation
Discovering and representing the contextual and narrative structure of e-books to support reading and comprehension (abstract only) (YS), p. 603.
RERE-2004-YuLM #aspect-oriented #modelling #requirements
From Goals to Aspects: Discovering Aspects from Requirements Goal Models (YY, JCSdPL, JM), pp. 38–47.
SACSAC-2004-Ferrer-TroyanoAS #data type
Discovering decision rules from numerical data streams (FJFT, JSAR, JCRS), pp. 649–653.
ICSEICSE-2004-YanGSAK #architecture #named
DiscoTect: A System for Discovering Architectures from Running Systems (HY, DG, BRS, JA, RK), pp. 470–479.
ICEISICEIS-v2-2003-CaleroDSSSM
Helping User to Discover Association Rules: A Case in Soil Color as Aggregation of Other Soil Properties (JC, GD, MSM, DS, JMS, MAVM), pp. 533–540.
KDDKDD-2003-FramAD #data mining #empirical #mining #safety
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety (DMF, JSA, WD), pp. 359–368.
KDDKDD-2003-ShimazuMF #case study
Experimental study of discovering essential information from customer inquiry (KS, AM, KF), pp. 741–746.
MLDMMLDM-2003-Sy
Discovering Association Patterns Based on Mutual Information (BKS), pp. 369–378.
MLDMMLDM-2003-TanakaU #analysis #component #multi #principle #using
Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle (YT, KU), pp. 252–265.
SIGIRSIGIR-2003-BartlettT #data flow
Discovering and structuring information flow among bioinformatics resources (JCB, EGT), pp. 411–412.
ECOOPECOOP-2003-HenkelD #algebra #java #specification
Discovering Algebraic Specifications from Java Classes (JH, AD), pp. 431–456.
POPLPOPL-2003-GulwaniN #random #using
Discovering affine equalities using random interpretation (SG, GCN), pp. 74–84.
SACSAC-2003-BragaCCKL #xml
Discovering Interesting Information in XML Data with Association Rules (DB, AC, SC, MK, PLL), pp. 450–454.
VLDBVLDB-2002-HristidisP #database #keyword #named #relational
DISCOVER: Keyword Search in Relational Databases (VH, YP), pp. 670–681.
WCREWCRE-2002-CookD #concurrent #interactive #thread
Discovering Thread Interactions in a Concurrent System (JEC, ZD), p. 255–?.
CIKMCIKM-2002-GrahneZ #approximate #xml
Discovering approximate keys in XML data (GG, JZ), pp. 453–460.
CIKMCIKM-2002-LiuYM02a
Discovering the representative of a search engine (KLL, CTY, WM), pp. 652–654.
ICMLICML-2002-Hengst #learning
Discovering Hierarchy in Reinforcement Learning with HEXQ (BH), pp. 243–250.
ICPRICPR-v3-2002-LinB #detection
Discovering Operators and Features for Object Detection (YL, BB), pp. 339–342.
KDDKDD-2002-ChenHS #algorithm
A new two-phase sampling based algorithm for discovering association rules (BC, PJH, PS), pp. 462–468.
KDDKDD-2002-JagannathanNAH
A model for discovering customer value for E-content (SJ, JN, KCA, MH), pp. 532–537.
KDDKDD-2002-LinH #documentation #web
Discovering informative content blocks from Web documents (SHL, JMH), pp. 588–593.
KDDKDD-2002-PantelL #word
Discovering word senses from text (PP, DL), pp. 613–619.
KDDKDD-2002-TuzhilinL #multi #query #set
Querying multiple sets of discovered rules (AT, BL), pp. 52–60.
SEKESEKE-2002-LoiaSS #deduction #named #web
LearnMiner: deductive, tolerant agents for discovering didactic resources on the web (VL, SS, MIS), pp. 109–115.
SACSAC-2002-MataMR #algorithm
An evolutionary algorithm to discover numeric association rules (JMV, JLÁM, JCRS), pp. 590–594.
VLDBVLDB-2001-Draluk #bibliography #perspective #web #web service
Discovering Web Services: An Overview (VD), pp. 637–640.
ICSMEICSM-2001-Ernst #invariant #summary
Summary of Dynamically Discovering Likely Program Invariants (MDE), pp. 540–544.
CIKMCIKM-2001-LiuYMS
Discovering the Representative of a Search Engine (KLL, CTY, WM, AS), pp. 577–579.
CIKMCIKM-2001-YanF #algorithm #dependence #multi
Algorithm for Discovering Multivalued Dependencies (MHY, AWCF), pp. 556–558.
ICMLICML-2001-SchwabacherL
Discovering Communicable Scientific Knowledge from Spatio-Temporal Data (MS, PL), pp. 489–496.
KDDKDD-2001-LiuHM01a #set
Discovering the set of fundamental rule changes (BL, WH, YM), pp. 335–340.
KDDKDD-2001-LiuMY #web
Discovering unexpected information from your competitors’ web sites (BL, YM, PSY), pp. 144–153.
KDDKDD-2001-Webb
Discovering associations with numeric variables (GIW), pp. 383–388.
KDDKDD-2001-YamanishiT
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner (KY, JiT), pp. 389–394.
SIGIRSIGIR-2001-SongB #concept #data flow #information management #using
Discovering Information Flow Using a High Dimensional Conceptual Space (DS, PB), pp. 327–333.
RERE-2001-Voas
Discovering Unanticipated Software Output Modes (JMV), p. 277.
ITiCSEITiCSE-2000-Chang #analysis #concept #learning #web
Discovering learning patterns from Web logs by concept transformation analysis (poster session) (CKC), pp. 186–187.
ICMLICML-2000-SlatteryM #relational #testing
Discovering Test Set Regularities in Relational Domains (SS, TMM), pp. 895–902.
ICMLICML-2000-TodorovskiDSWG #behaviour #difference #equation
Discovering the Structure of Partial Differential Equations from Example Behaviour (LT, SD, AS, JPW, DG), pp. 991–998.
ICMLICML-2000-VuceticO #contest
Discovering Homogeneous Regions in Spatial Data through Competition (SV, ZO), pp. 1095–1102.
KDDKDD-2000-Caraca-ValenteL
Discovering similar patterns in time series (JPCV, ILC), pp. 497–505.
KDDKDD-2000-LiuHH #multi #summary
Multi-level organization and summarization of the discovered rules (BL, MH, WH), pp. 208–217.
KDDKDD-2000-PadmanabhanT #set
Small is beautiful: discovering the minimal set of unexpected patterns (BP, AT), pp. 54–63.
KDDKDD-2000-Senator #case study #detection #information management #scalability
Ongoing management and application of discovered knowledge in a large regulatory organization: a case study of the use and impact of NASD Regulation’s Advanced Detection System (RADS) (TES), pp. 44–53.
TOOLSTOOLS-USA-2000-McDavid #framework #semantics #using
A Framework for Discovering, Organizing, and Using Business Semantics (DM), pp. 549–554.
SACSAC-2000-AleR #approach
An Approach to Discovering Temporal Association Rules (JMA, GR), pp. 294–300.
SACSAC-2000-JurisicaG #image #reasoning #using
Extending Case-Based Reasoning by Discovering and Using Image Features in IVF (IJ, JIG), pp. 52–59.
HCIHCI-EI-1999-KinoeM #idea
Discovering Latent Relationships among Ideas: A Methodology for Facilitating New Idea Creation (YK, HM), pp. 1242–1246.
CIKMCIKM-1999-ShyuCK #database
Discovering Quasi-Equivalence Relationships from Database Systems (MLS, SCC, RLK), pp. 102–108.
ICMLICML-1999-Zhang #approach #learning
An Region-Based Learning Approach to Discovering Temporal Structures in Data (WZ), pp. 484–492.
KDDKDD-1999-DongL #difference #mining #performance #roadmap
Efficient Mining of Emerging Patterns: Discovering Trends and Differences (GD, JL), pp. 43–52.
KDDKDD-1999-LiuHM
Pruning and Summarizing the Discovered Associations (BL, WH, YM), pp. 125–134.
KDDKDD-1999-WijsenNC #dependence
Discovering Roll-Up Dependencies (JW, RTN, TC), pp. 213–222.
SIGIRSIGIR-1999-GePS #word
Discovering Chinese Words from Unsegmented Text (poster abstract) (XG, WP, PS), pp. 271–272.
ICSEICSE-1999-ErnstCGN #evolution #invariant
Dynamically Discovering Likely Program Invariants to Support Program Evolution (MDE, JC, WGG, DN), pp. 213–224.
HPDCHPDC-1999-LowekampOG #distributed #network #query
Direct Queries for Discovering Network Resource Properties in a Distributed Environment (BL, DRO, TRG), pp. 38–46.
KDDKDD-1998-MegiddoS #predict
Discovering Predictive Association Rules (NM, RS), pp. 274–278.
KDDKDD-1998-PadmanabhanT
A Belief-Driven Method for Discovering Unexpected Patterns (BP, AT), pp. 94–100.
KDDKDD-1998-SteegRW #correlation #detection #higher-order #multi #performance
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data (EWS, DAR, EW), pp. 112–120.
KDDKDD-1998-WeigendCFW
Discovering Technical Traders in the T-bond Futures Market (ASW, FC, SF, SRW), pp. 354–358.
SIGIRSIGIR-1998-WangL #approach #documentation #roadmap
Discovering Typical Structures of Documents: A Road Map Approach (KW, HL), pp. 146–154.
HCIHCI-SEC-1997-Marcus97b #design #user interface #web
History Lesson: The Web Discovers User Interface Design (AM), pp. 535–538.
CIKMCIKM-1997-PerryC #resource management
Discovering Similar Resources by Content Part-Linking (BP, WWC), pp. 317–324.
KDDKDD-1997-DeCoste #behaviour #mining #multi
Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes (DD), pp. 151–154.
KDDKDD-1997-LentAS #database #roadmap
Discovering Trends in Text Databases (BL, RA, RS), pp. 227–230.
KDDKDD-1997-LiuHC #classification #using
Using General Impressions to Analyze Discovered Classification Rules (BL, WH, SC), pp. 31–36.
ICSMEICSM-1996-WallaceCW #case study #distributed #framework #legacy #migration
Discovering a system modernization decision framework: a case study in migrating to distributed object technology (EW, PCC, KCW), p. 185–?.
KDDAKDDM-1996-GuyonMV
Discovering Informative Patterns and Data Cleaning (IG, NM, VV), pp. 181–203.
ICMLICML-1996-ThrunO #algorithm #learning #multi
Discovering Structure in Multiple Learning Tasks: The TC Algorithm (ST, JO), pp. 489–497.
KDDKDD-1996-CheungNT #information management #maintenance #multi
Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules (DWLC, VTYN, BWT), pp. 307–310.
KDDKDD-1996-EsterKSX #algorithm #clustering #database #scalability
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (ME, HPK, JS, XX), pp. 226–231.
KDDKDD-1996-IglesiaDR #database #heuristic #using
Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques (BdlI, JCWD, VJRS), pp. 44–49.
KDDKDD-1996-MannilaT #using
Discovering Generalized Episodes Using Minimal Occurrences (HM, HT), pp. 146–151.
KDDKDD-1996-ShanZHC #classification #database #set #using
Discovering Classification Knowledge in Databases Using Rough Sets (NS, WZ, HJH, NC), pp. 271–274.
KDDKDD-1996-WangW #representation #using
Representing Discovered Patterns Using Attributed Hypergraph (YW, AKCW), pp. 283–286.
POPLPOPL-1996-LiuST #incremental
Discovering Auxiliary Information for Incremental Computation (YAL, SDS, TT), pp. 157–170.
ICSMEICSM-1995-BuckleyC
Discovering relationships between service and customer satisfaction (MB, RC), p. 192–?.
ICMLICML-1995-Schmidhuber #complexity
Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability (JS), pp. 488–496.
KDDKDD-1995-BuntineP #how
Intelligent Instruments: Discovering How to Turn Spectral Data into Information (WLB, TP), pp. 33–38.
KDDKDD-1995-Glymour #modelling #predict
Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program (CG), pp. 130–135.
KDDKDD-1995-HsuK #information management #robust
Estimating the Robustness of Discovered Knowledge (CNH, CAK), pp. 156–161.
KDDKDD-1995-MannilaTV #sequence
Discovering Frequent Episodes in Sequences (HM, HT, AIV), pp. 210–215.
KDDKDD-1995-SanjeevZ #database
Discovering Enrollment Knowledge in University Databases (APS, JMZ), pp. 246–251.
SACSAC-1995-Bsaies #logic programming #proving
Discovering and proving logic program properties (KB), pp. 369–373.
SACSAC-1995-KrishnaKumarS #algorithm #fuzzy #modelling #multi #using
Discovering multiple fuzzy models using the EFMCN algorithm (KK, AS), pp. 537–541.
CIKMCIKM-1994-KlemettinenMRTV #scalability #set
Finding Interesting Rules from Large Sets of Discovered Association Rules (MK, HM, PR, HT, AIV), pp. 401–407.
KDDKDD-1994-GuyonMV
Discovering Informative Patterns and Data Cleaning (IG, NM, VV), pp. 145–156.
KDDKDD-1994-MannilaTV #algorithm #performance
Efficient Algorithms for Discovering Association Rules (HM, HT, AIV), pp. 181–192.
SIGIRSIGIR-1994-ConradU #database #feature model
A System for Discovering Relationships by Feature Extraction from Text Databases (JGC, MHU), pp. 260–270.
CADECADE-1994-Bundgen #how #on the
On Pot, Pans and Pudding or How to Discover Generalised Critical Pairs (RB), pp. 693–707.
HTHT-1993-MarshallS #hypermedia
Searching for the Missing Link: Discovering Implicit Structure in Spatial Hypertext (CCM, FMSI), pp. 217–230.
ICMLICML-1993-DzeroskiT
Discovering Dynamics (SD, LT), pp. 97–103.
CIKMCIKM-1992-Semmel #concept
Discovering Context in a Conceptual Schema (RDS), pp. 1–15.
ICMLML-1992-RadiyaZ #framework #modelling
A Framework for Discovering Discrete Event Models (AR, JMZ), pp. 373–378.
TOOLSTOOLS-PACIFIC-1992-Ratjens #information management #scalability
Discovering Classes and their Properties in Large-Scale Management Information Systems (MR), pp. 53–65.
KDDKDD-1991-WuW #functional
Discovering Functional Relationships from Observational Data (YHW, SW), pp. 55–70.
ICMLML-1991-KowalczykFG #higher-order #network
Discovering Production Rules with Higher Order Neural Networks (AK, HLF, KG), pp. 158–162.
ICMLML-1991-Shen #knowledge base #scalability
Discovering Regularities from Large Knowledge Bases (WMS), pp. 539–543.
HTECHT-1990-Bernstein #hypermedia
An Apprentice That Discovers Hypertext Links (MB), pp. 212–223.
ICMLML-1989-MostowP #heuristic #optimisation
Discovering Admissible Search Heuristics by Abstracting and Optimizing (JM, AP), p. 240.
ICMLML-1989-PagalloH #algorithm
Two Algorithms That Learn DNF by Discovering Relevant Features (GP, DH), pp. 119–123.
ICMLML-1989-SimsB
Discovering Mathematical Operation Definitions (MHS, JLB), pp. 308–313.
ICMLML-1989-VanLehn #problem #what
Discovering Problem Solving Strategies: What Humans Do and Machines Don’t (Yet) (KV), pp. 215–217.
CADECADE-1984-Stickel #case study #commutative #proving #theorem proving
A Case Study of Theorem Proving by the Knuth-Bendix Method: Discovering That x³=x Implies Ring Commutativity (MES), pp. 248–258.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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