BibSLEIGH — Proceedings of the 18th International Conference on Knowledge Discovery and Data Mining

Qiang Yang, Deepak Agarwal, Jian Pei
Proceedings of the 18th International Conference on Knowledge Discovery and Data Mining
KDD, 2012.

KER

@proceedings{KDD-2012,
	acmid         = "2339530",
	address       = "Beijing, China",
	editor        = "Qiang Yang and Deepak Agarwal and Jian Pei",
	isbn          = "978-1-4503-1462-6",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 18th International Conference on Knowledge Discovery and Data Mining}",
	year          = 2012,
}

Contents (206 items)

KDD-2012-Li #problem: Nine real hard problems we’d like you to solve (RL), p. 1.
KDD-2012-Han #mining #network: Mining heterogeneous information networks: the next frontier (JH), pp. 2–3.
KDD-2012-Jordan #big data #divide and conquer #statistics: Divide-and-conquer and statistical inference for big data (MIJ), p. 4.
KDD-2012-Kearns #social: Experiments in social computation: (and the data they generate) (MK), p. 5.
KDD-2012-MatsubaraSPLF #information management: Rise and fall patterns of information diffusion: model and implications (YM, YS, BAP, LL, CF), pp. 6–14.
KDD-2012-FujiwaraNYSO #assurance #performance #personalisation #rank: Efficient personalized pagerank with accuracy assurance (YF, MN, TY, HS, MO), pp. 15–23.
KDD-2012-BahmaniKMU #evolution #graph #rank: PageRank on an evolving graph (BB, RK, MM, EU), pp. 24–32.
KDD-2012-MyersZL #information management #network: Information diffusion and external influence in networks (SAM, CZ, JL), pp. 33–41.
KDD-2012-PatroDSWFK #approach #data-driven #how #learning #modelling #network: The missing models: a data-driven approach for learning how networks grow (RP, GD, ES, HW, DF, CK), pp. 42–50.
KDD-2012-LiuZW #set: Finding minimum representative pattern sets (GL, HZ, LW), pp. 51–59.
KDD-2012-YuDSW #feature model #mining #streaming: Mining emerging patterns by streaming feature selection (KY, WD, DAS, XW), pp. 60–68.
KDD-2012-BoleyMG #linear #using: Linear space direct pattern sampling using coupling from the past (MB, SM, TG), pp. 69–77.
KDD-2012-WuSTY #mining: Mining top-K high utility itemsets (CWW, BES, VST, PSY), pp. 78–86.
KDD-2012-LiZ: Sampling minimal frequent boolean (DNF) patterns (GL, MJZ), pp. 87–95.
KDD-2012-ChenZC #topic: The contextual focused topic model (XC, MZ, LC), pp. 96–104.
KDD-2012-SatoKN #process: Practical collapsed variational bayes inference for hierarchical dirichlet process (IS, KK, HN), pp. 105–113.
KDD-2012-HanSCX #composition #modelling #visual notation: Overlapping decomposition for causal graphical modeling (LH, GS, GC, KX), pp. 114–122.
KDD-2012-WangAB #modelling #named #online #performance #social #social media #topic: TM-LDA: efficient online modeling of latent topic transitions in social media (YW, EA, MB), pp. 123–131.
KDD-2012-GunnemannFS #clustering #modelling #multi #using: Multi-view clustering using mixture models in subspace projections (SG, IF, TS), pp. 132–140.
KDD-2012-JanWLL #classification: A simple methodology for soft cost-sensitive classification (TKJ, DWW, CHL, HTL), pp. 141–149.
KDD-2012-LouCG #classification #modelling: Intelligible models for classification and regression (YL, RC, JG), pp. 150–158.
KDD-2012-OuyangG #adaptation #named #performance: NASA: achieving lower regrets and faster rates via adaptive stepsizes (HO, AGG), pp. 159–167.
KDD-2012-HoensC #learning: Learning in non-stationary environments with class imbalance (TRH, NVC), pp. 168–176.
KDD-2012-MatsushimaVS #linear: Linear support vector machines via dual cached loops (SM, SVNV, AJS), pp. 177–185.
KDD-2012-YuanZX #using: Discovering regions of different functions in a city using human mobility and POIs (JY, YZ, XX), pp. 186–194.
KDD-2012-WeiZP #nondeterminism: Constructing popular routes from uncertain trajectories (LYW, YZ, WCP), pp. 195–203.
KDD-2012-ShiA #dataset #mobile #recommendation: GetJar mobile application recommendations with very sparse datasets (KS, KA), pp. 204–212.
KDD-2012-ChenFDS #case study: Differentially private transit data publication: a case study on the montreal transportation system (RC, BCMF, BCD, NMS), pp. 213–221.
KDD-2012-Li12a #interactive #internet: Interaction and collective intelligence in internet computing (DL), p. 222.
KDD-2012-Kitsuregawa #big data: Building an engine for big data (MK), p. 223.
KDD-2012-Zhang #challenge #information management: A new challenge of information processing under the 21st century (BZ), p. 224.
KDD-2012-Holmes #data mining #mining: Developing data mining applications (GH), p. 225.
KDD-2012-TianZ #learning: Learning from crowds in the presence of schools of thought (YT, JZ), pp. 226–234.
KDD-2012-DasguptaKS #social: Social sampling (AD, RK, DS), pp. 235–243.
KDD-2012-WangYH #online: From user comments to on-line conversations (CW, MY, BAH), pp. 244–252.
KDD-2012-TangLGS #comprehension #evolution #named #online #trust: eTrust: understanding trust evolution in an online world (JT, HG, HL, ADS), pp. 253–261.
KDD-2012-RakthanmanonCMBWZZK #mining #sequence: Searching and mining trillions of time series subsequences under dynamic time warping (TR, BJLC, AM, GEAPAB, MBW, QZ, JZ, EJK), pp. 262–270.
KDD-2012-MatsubaraSFIY #mining #performance: Fast mining and forecasting of complex time-stamped events (YM, YS, CF, TI, MY), pp. 271–279.
KDD-2012-BatalFHMH #detection #mining #multi: Mining recent temporal patterns for event detection in multivariate time series data (IB, DF, JH, FM, MH), pp. 280–288.
KDD-2012-LinesDHB #classification: A shapelet transform for time series classification (JL, LMD, JH, AB), pp. 289–297.
KDD-2012-HuZLYH #matrix: Accelerated singular value thresholding for matrix completion (YH, DZ, JL, JY, XH), pp. 298–306.
KDD-2012-LiLP #coordination #performance #using: Fast bregman divergence NMF using taylor expansion and coordinate descent (LL, GL, HP), pp. 307–315.
KDD-2012-KangPHF #algorithm #analysis #named #scalability: GigaTensor: scaling tensor analysis up by 100 times — algorithms and discoveries (UK, EEP, AH, CF), pp. 316–324.
KDD-2012-SilvaC #learning #matrix #online: Active learning for online bayesian matrix factorization (JGS, LC), pp. 325–333.
KDD-2012-JiZL #clustering: A sparsity-inducing formulation for evolutionary co-clustering (SJ, WZ, JL), pp. 334–342.
KDD-2012-HiraiY #clustering #detection #normalisation #using: Detecting changes of clustering structures using normalized maximum likelihood coding (SH, KY), pp. 343–351.
KDD-2012-GunnemannFVS #clustering #correlation: Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data (SG, IF, KV, TS), pp. 352–360.
KDD-2012-Plant #clustering #dependence #metric: Dependency clustering across measurement scales (CP), pp. 361–369.
KDD-2012-YangGRP #framework #twitter: A framework for summarizing and analyzing twitter feeds (XY, AG, YR, SP), pp. 370–378.
KDD-2012-MengWLZLW #summary #topic #twitter: Entity-centric topic-oriented opinion summarization in twitter (XM, FW, XL, MZ, SL, HW), pp. 379–387.
KDD-2012-ZhouJL #community #profiling #social: Community discovery and profiling with social messages (WZ, HJ, YL), pp. 388–396.
KDD-2012-BawabMC #personalisation #query #recommendation #topic: Finding trending local topics in search queries for personalization of a recommendation system (ZAB, GHM, JFC), pp. 397–405.
KDD-2012-Shi: China’s national personal credit scoring system: a real-life intelligent knowledge application (YS), p. 406.
KDD-2012-Holada #low cost: Maximizing return and minimizing cost with the right decision management systems (RH), p. 407.
KDD-2012-LappasVG #invariant #mining #performance: Efficient and domain-invariant competitor mining (TL, GV, DG), pp. 408–416.
KDD-2012-HaiderCB #clustering #segmentation: Discriminative clustering for market segmentation (PH, LC, UB), pp. 417–425.
KDD-2012-BeutelPRF #network #question: Interacting viruses in networks: can both survive? (AB, BAP, RR, CF), pp. 426–434.
KDD-2012-AgrawalI #web: Aggregating web offers to determine product prices (RA, SI), pp. 435–443.
KDD-2012-LiWH #mining: Mining event periodicity from incomplete observations (ZL, JW, JH), pp. 444–452.
KDD-2012-0001LHSE #approach #towards: Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach (FW, NL, JH, JS, SE), pp. 453–461.
KDD-2012-TattiV #sequence: The long and the short of it: summarising event sequences with serial episodes (NT, JV), pp. 462–470.
KDD-2012-CadonnaGB #pattern matching #performance: Efficient event pattern matching with match windows (BC, JG, MHB), pp. 471–479.
KDD-2012-XiangZSY #rank: Optimal exact least squares rank minimization (SX, YZ, XS, JY), pp. 480–488.
KDD-2012-SindhwaniG #distributed #learning #scalability #taxonomy: Large-scale distributed non-negative sparse coding and sparse dictionary learning (VS, AG), pp. 489–497.
KDD-2012-ZhouZ #collaboration #learning: Learning binary codes for collaborative filtering (KZ, HZ), pp. 498–506.
KDD-2012-HsiehCD #modelling #network #rank: Low rank modeling of signed networks (CJH, KYC, ISD), pp. 507–515.
KDD-2012-SeelandKK #clustering #graph #kernel #learning: A structural cluster kernel for learning on graphs (MS, AK, SK), pp. 516–524.
KDD-2012-HuangYZ #multi #reuse: Multi-label hypothesis reuse (SJH, YY, ZHZ), pp. 525–533.
KDD-2012-BriggsFR: Rank-loss support instance machines for MIML instance annotation (FB, XZF, RR), pp. 534–542.
KDD-2012-ZhangH #induction #learning #multi: Inductive multi-task learning with multiple view data (JZ, JH), pp. 543–551.
KDD-2012-XingLHCHLLMZ #behaviour #chat #detection #online #scalability #video: Scalable misbehavior detection in online video chat services (XX, YLL, SH, HC, RH, QL, XL, SM, YZ), pp. 552–560.
KDD-2012-ZhangFWZ #keyword #web: Keyword-propagation-based information enriching and noise removal for web news videos (JZ, XF, JW, LZ), pp. 561–569.
KDD-2012-ZhangTLCJWL #web: Harnessing the wisdom of the crowds for accurate web page clipping (LZ, LT, PL, EC, LJ, MW, GL), pp. 570–578.
KDD-2012-Mayer #identification #internet #multi: Bootstrapped language identification for multi-site internet domains (UFM), pp. 579–585.
KDD-2012-Ma #information management #semantics: Semantic search and a new moore’s law effect in knowledge engineering (WYM), p. 586.
KDD-2012-Posse #lessons learnt #network #recommendation #scalability #social: Key lessons learned building recommender systems for large-scale social networks (CP), p. 587.
KDD-2012-WangZSY #community #identification #network #social: Magnet community identification on social networks (GW, YZ, XS, PSY), pp. 588–596.
KDD-2012-GleichS #community: Vertex neighborhoods, low conductance cuts, and good seeds for local community methods (DFG, CS), pp. 597–605.
KDD-2012-ZhangY #bound #community #detection #matrix: Overlapping community detection via bounded nonnegative matrix tri-factorization (YZ, DYY), pp. 606–614.
KDD-2012-CosciaRGP #community #named: DEMON: a local-first discovery method for overlapping communities (MC, GR, FG, DP), pp. 615–623.
KDD-2012-AbrahaoSHK #community #on the: On the separability of structural classes of communities (BDA, SS, JEH, RK), pp. 624–632.
KDD-2012-TangLS #dependence: Discovering lag intervals for temporal dependencies (LT, TL, LS), pp. 633–641.
KDD-2012-KawaleCOSLK #testing: Testing the significance of spatio-temporal teleconnection patterns (JK, SC, DO, KS, SL, VK), pp. 642–650.
KDD-2012-ChanLLBR #graph #mining #multi #named: SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs (JC, WL, CL, JB, KR), pp. 651–659.
KDD-2012-YinZC #algorithm #mining #named #performance: USpan: an efficient algorithm for mining high utility sequential patterns (JY, ZZ, LC), pp. 660–668.
KDD-2012-LiuBEWFZ #comparison #mining #scalability: Mining large-scale, sparse GPS traces for map inference: comparison of approaches (XL, JB, JE, YW, GF, YZ), pp. 669–677.
KDD-2012-El-AriniPHGA #modelling #personalisation: Transparent user models for personalization (KEA, UP, RH, JVG, BAyA), pp. 678–686.
KDD-2012-GionisLT #set: Estimating entity importance via counting set covers (AG, TL, ET), pp. 687–695.
KDD-2012-ZhongFWXL #adaptation #behaviour #named #network #social: ComSoc: adaptive transfer of user behaviors over composite social network (EZ, WF, JW, LX, YL), pp. 696–704.
KDD-2012-RamanSJ #feedback #learning #online: Online learning to diversify from implicit feedback (KR, PS, TJ), pp. 705–713.
KDD-2012-ChenMTJ #metric #predict: Playlist prediction via metric embedding (SC, JLM, DT, TJ), pp. 714–722.
KDD-2012-JiLHCH #parallel #ranking: Parallel field ranking (MJ, BL, XH, DC, JH), pp. 723–731.
KDD-2012-ShangJW #learning: Semi-supervised learning with mixed knowledge information (FS, LCJ, FW), pp. 732–740.
KDD-2012-ChattopadhyayWFDPY #probability: Batch mode active sampling based on marginal probability distribution matching (RC, ZW, WF, ID, SP, JY), pp. 741–749.
KDD-2012-JainVV #kernel #learning #multi #named: SPF-GMKL: generalized multiple kernel learning with a million kernels (AJ, SVNV, MV), pp. 750–758.
KDD-2012-KuksaP #evaluation #kernel #performance #scalability #sequence: Efficient evaluation of large sequence kernels (PPK, VP), pp. 759–767.
KDD-2012-LeeODL: Estimating conversion rate in display advertising from past erformance data (KcL, BO, AD, WL), pp. 768–776.
KDD-2012-ChengZAMZZN #multi #predict: Multimedia features for click prediction of new ads in display advertising (HC, RvZ, JA, EM, RZ, YZ, VN), pp. 777–785.
KDD-2012-KohaviDFLWX #online: Trustworthy online controlled experiments: five puzzling outcomes explained (RK, AD, BF, RL, TW, YX), pp. 786–794.
KDD-2012-ChenY #predict: Position-normalized click prediction in search advertising (YC, TWY), pp. 795–803.
KDD-2012-PerlichDHSRP #online #optimisation: Bid optimizing and inventory scoring in targeted online advertising (CP, BD, RH, OS, TR, FJP), pp. 804–812.
KDD-2012-Li12b #algorithm #graph #mining #nondeterminism: Algorithms for mining uncertain graph data (JL), p. 813.
KDD-2012-Compton #experience: Experience with discovering knowledge by acquiring it (PC), p. 814.
KDD-2012-Ueda #data analysis #relational: Bayesian relational data analysis (NU), p. 815.
KDD-2012-Shi12a #information management: Cross-media knowledge discovery (ZS), p. 816.
KDD-2012-XieWLY #detection #overview: Review spam detection via temporal pattern discovery (SX, GW, SL, PSY), pp. 823–831.
KDD-2012-LappasCT #set: Selecting a characteristic set of reviews (TL, MC, ET), pp. 832–840.
KDD-2012-MukherjeeL #mining: Mining contentions from discussions and debates (AM, BL), pp. 841–849.
KDD-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.
KDD-2012-GuptaGSH #community #detection #mining: Integrating community matching and outlier detection for mining evolutionary community outliers (MG, JG, YS, JH), pp. 859–867.
KDD-2012-DuivesteijnFK #distance #mining #modelling: Different slopes for different folks: mining for exceptional regression models with cook’s distance (WD, AF, AJK), pp. 868–876.
KDD-2012-PhamP #algorithm #approximate #detection: A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data (NP, RP), pp. 877–885.
KDD-2012-DingKBKC #anti #communication #detection #social: Intrusion as (anti)social communication: characterization and detection (QD, NK, PB, EDK, MC), pp. 886–894.
KDD-2012-GongYZ #learning #multi #robust: Robust multi-task feature learning (PG, JY, CZ), pp. 895–903.
KDD-2012-TangL #feature model #social #social media: Unsupervised feature selection for linked social media data (JT, HL), pp. 904–912.
KDD-2012-WoznicaNK #feature model #mining #robust: Model mining for robust feature selection (AW, PN, AK), pp. 913–921.
KDD-2012-YangYLSWY #graph: Feature grouping and selection over an undirected graph (SY, LY, YCL, XS, PW, JY), pp. 922–930.
KDD-2012-RamG #using: Maximum inner-product search using cone trees (PR, AGG), pp. 931–939.
KDD-2012-ZhenY #learning #multimodal #probability: A probabilistic model for multimodal hash function learning (YZ, DYY), pp. 940–948.
KDD-2012-YangSLC #network #on the #query #social: On socio-spatial group query for location-based social networks (DNY, CYS, WCL, MSC), pp. 949–957.
KDD-2012-XiongJXC #dependence #learning #metric #random: Random forests for metric learning with implicit pairwise position dependence (CX, DMJ, RX, JJC), pp. 958–966.
KDD-2012-AgrawalCGKK #comprehension: Empowering authors to diagnose comprehension burden in textbooks (RA, SC, SG, AK, KK), pp. 967–975.
KDD-2012-SongCWWYD #analysis #behaviour: Coupled behavior analysis for capturing coupling relationships in group-based market manipulations (YS, LC, XW, GW, WY, WD), pp. 976–984.
KDD-2012-WuWCT #detection #hybrid #named #recommendation: HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation (ZW, JW, JC, DT), pp. 985–993.
KDD-2012-BellalaMALB #power management: Following the electrons: methods for power management in commercial buildings (GB, MM, MFA, GL, CB), pp. 994–1002.
KDD-2012-Williams #delivery: Ensembles and model delivery for tax compliance (GW), p. 1003.
KDD-2012-Douglas #modelling #multi #predict: Leveraging predictive modeling to reduce signal theft in a multi-service organization environment (SD), p. 1004.
KDD-2012-MajumderDN #network #problem #social: Capacitated team formation problem on social networks (AM, SD, KVMN), pp. 1005–1013.
KDD-2012-Saez-TrumperCABB #network: Finding trendsetters in information networks (DST, GC, VAFA, RABY, FB), pp. 1014–1022.
KDD-2012-LiWDWC #profiling #social #towards: Towards social user profiling: unified and discriminative influence model for inferring home locations (RL, SW, HD, RW, KCCC), pp. 1023–1031.
KDD-2012-LiuHTLMH #network #online #social: Event-based social networks: linking the online and offline social worlds (XL, QH, YT, WCL, JM, JH), pp. 1032–1040.
KDD-2012-LeeC #difference: Differential identifiability (JL, CC), pp. 1041–1049.
KDD-2012-XueKRVT: Anonymizing set-valued data by nonreciprocal recoding (MX, PK, CR, JV, KLT), pp. 1050–1058.
KDD-2012-ZhouKTX #machine learning: Adversarial support vector machine learning (YZ, MK, BMT, BX), pp. 1059–1067.
KDD-2012-KimLX #image #multi #predict #process #using #web: Web image prediction using multivariate point processes (GK, FFL, EPX), pp. 1068–1076.
KDD-2012-YuDRZY #classification #multi #predict: Transductive multi-label ensemble classification for protein function prediction (GXY, CD, HR, GZ, ZY), pp. 1077–1085.
KDD-2012-LiJPS #classification #learning #multi: Multi-domain active learning for text classification (LL, XJ, SJP, JTS), pp. 1086–1094.
KDD-2012-ZhouLNY #modelling: Modeling disease progression via fused sparse group lasso (JZ, JL, VAN, JY), pp. 1095–1103.
KDD-2012-RitterMEC #twitter: Open domain event extraction from twitter (AR, M, OE, SC), pp. 1104–1112.
KDD-2012-LiuA #clustering #data flow #web: Stratified k-means clustering over a deep web data source (TL, GA), pp. 1113–1121.
KDD-2012-ShahafGH: Metro maps of science (DS, CG, EH), pp. 1122–1130.
KDD-2012-BellareIPR: Active sampling for entity matching (KB, SI, AGP, VR), pp. 1131–1139.
KDD-2012-MaoCCLKB #approach #data mining #mining #monitoring #realtime: An integrated data mining approach to real-time clinical monitoring and deterioration warning (YM, WC, YC, CL, MK, TCB), pp. 1140–1148.
KDD-2012-YuanWTNY #analysis #learning #multi: Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data (LY, YW, PMT, VAN, JY), pp. 1149–1157.
KDD-2012-ShaferRBAGF #approach #mining #monitoring #named: RainMon: an integrated approach to mining bursty timeseries monitoring data (IS, KR, VNB, YA, GRG, CF), pp. 1158–1166.
KDD-2012-SondhiSTZ #framework #graph #mining #named: SympGraph: a framework for mining clinical notes through symptom relation graphs (PS, JS, HT, CZ), pp. 1167–1175.
KDD-2012-Lin #case study #data mining #experience #machine learning #mining: Experiences and lessons in developing industry-strength machine learning and data mining software (CJL), p. 1176.
KDD-2012-ZhangZGYYL #optimisation: Joint optimization of bid and budget allocation in sponsored search (WZ, YZ, BG, YY, XY, TYL), pp. 1177–1185.
KDD-2012-BorgholACEM #video: The untold story of the clones: content-agnostic factors that impact YouTube video popularity (YB, SA, NC, DLE, AM), pp. 1186–1194.
KDD-2012-BharadwajCMNTVVY #algorithm #named #performance: SHALE: an efficient algorithm for allocation of guaranteed display advertising (VB, PC, WM, CN, JT, SV, EV, JY), pp. 1195–1203.
KDD-2012-GuptaDPN: Factoring past exposure in display advertising targeting (NG, AD, SP, VKN), pp. 1204–1212.
KDD-2012-BhalgatFM #delivery #online: Online allocation of display ads with smooth delivery (AB, JF, VSM), pp. 1213–1221.
KDD-2012-StantonK #clustering #distributed #graph #scalability #streaming: Streaming graph partitioning for large distributed graphs (IS, GK), pp. 1222–1230.
KDD-2012-HendersonGETBAKFL #graph #mining #named #scalability: RolX: structural role extraction & mining in large graphs (KH, BG, TER, HT, SB, LA, DK, CF, LL), pp. 1231–1239.
KDD-2012-ChengZKC #algorithm #clique #memory management #performance: Fast algorithms for maximal clique enumeration with limited memory (JC, LZ, YK, SC), pp. 1240–1248.
KDD-2012-FengHKBP #graph #mining: Summarization-based mining bipartite graphs (JF, XH, BK, CB, CP), pp. 1249–1257.
KDD-2012-BodenGHS #graph #mining #multi: Mining coherent subgraphs in multi-layer graphs with edge labels (BB, SG, HH, TS), pp. 1258–1266.
KDD-2012-YangSL #network #online #recommendation #social: Circle-based recommendation in online social networks (XY, HS, YL), pp. 1267–1275.
KDD-2012-FengW #personalisation #recommendation #social: Incorporating heterogeneous information for personalized tag recommendation in social tagging systems (WF, JW), pp. 1276–1284.
KDD-2012-TangWSS #collaboration #recommendation: Cross-domain collaboration recommendation (JT, SW, JS, HS), pp. 1285–1293.
KDD-2012-0002L #named #recommendation: RecMax: exploiting recommender systems for fun and profit (AG, LVSL), pp. 1294–1302.
KDD-2012-ShenJ #learning #recommendation #social: Learning personal + social latent factor model for social recommendation (YS, RJ), pp. 1303–1311.
KDD-2012-Davidson #clustering #comprehension #constraints: Two approaches to understanding when constraints help clustering (ID), pp. 1312–1320.
KDD-2012-BonchiGGU #clustering #correlation: Chromatic correlation clustering (FB, AG, FG, AU), pp. 1321–1329.
KDD-2012-CorreaL #clustering #graph #using: Locally-scaled spectral clustering using empty region graphs (CDC, PL), pp. 1330–1338.
KDD-2012-WauthierJJ #clustering #nondeterminism #reduction: Active spectral clustering via iterative uncertainty reduction (FLW, NJ, MIJ), pp. 1339–1347.
KDD-2012-SunNHYYY #clustering #network: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks (YS, BN, JH, XY, PSY, XY), pp. 1348–1356.
KDD-2012-RaederSDPP #design #predict #robust: Design principles of massive, robust prediction systems (TR, OS, BD, CP, FJP), pp. 1357–1365.
KDD-2012-TangWYHZYGHXLU #analysis #mining #named #topic: PatentMiner: topic-driven patent analysis and mining (JT, BW, YY, PH, YZ, XY, BG, MH, PX, WL, AKU), pp. 1366–1374.
KDD-2012-HossainBBR #network: Storytelling in entity networks to support intelligence analysts (MSH, PB, APB, NR), pp. 1375–1383.
KDD-2012-ChakrabartiCCX #framework #robust: A framework for robust discovery of entity synonyms (KC, SC, TC, DX), pp. 1384–1392.
KDD-2012-AgarwalSS #named #performance: SmartDispatch: enabling efficient ticket dispatch in an IT service environment (SA, RS, BS), pp. 1393–1401.
KDD-2012-ZhouQM #behaviour #data analysis #social #social media: Social media data analysis for revealing collective behaviors (AZ, WQ, HM), p. 1402.
KDD-2012-Chen #information management #network #social: Information processing in social networks (MSC), p. 1403.
KDD-2012-Sun #comprehension #evaluation: Understanding users’ satisfaction for search engine evaluation (GS), p. 1404.
KDD-2012-Li12c #network #similarity: Similarity search in real world networks (CL), p. 1405.
KDD-2012-HalawiDGK #constraints #learning #scalability #word: Large-scale learning of word relatedness with constraints (GH, GD, EG, YK), pp. 1406–1414.
KDD-2012-MiaoGMYTAS #analysis #documentation: Latent association analysis of document pairs (GM, ZG, LEM, XY, ST, NA, JS), pp. 1415–1423.
KDD-2012-ShenWLW #knowledge base #named #web: LIEGE: : link entities in web lists with knowledge base (WS, JW, PL, MW), pp. 1424–1432.
KDD-2012-LiuSLW #automation #keyword #taxonomy: Automatic taxonomy construction from keywords (XL, YS, SL, HW), pp. 1433–1441.
KDD-2012-GrosskreutzPR: An enhanced relevance criterion for more concise supervised pattern discovery (HG, DP, SR), pp. 1442–1450.
KDD-2012-RoyTA #hardware #manycore #performance: Efficient frequent item counting in multi-core hardware (PR, JT, GA), pp. 1451–1459.
KDD-2012-SpeiserALS #on the: On nested palindromes in clickstream data (MS, GA, AL, JS), pp. 1460–1468.
KDD-2012-ZhangL #component #constraints #mining #rank #recognition: Mining discriminative components with low-rank and sparsity constraints for face recognition (QZ, BL), pp. 1469–1477.
KDD-2012-MarchCG #algorithm #correlation #performance: Fast algorithms for comprehensive n-point correlation estimates (WBM, AJC, AGG), pp. 1478–1486.
KDD-2012-WuALYY #on the: On “one of the few” objects (YW, PKA, CL, JY, CY), pp. 1487–1495.
KDD-2012-YuZSWWQZ #analysis #data mining #in the cloud #mining #named #network #social: BC-PDM: data mining, social network analysis and text mining system based on cloud computing (LY, JZ, WCS, BW, BW, LQ, BRZ), pp. 1496–1499.
KDD-2012-YuSZH #network #semantics: Query-driven discovery of semantically similar substructures in heterogeneous networks (XY, YS, PZ, JH), pp. 1500–1503.
KDD-2012-OlteanuS #clustering #correlation #energy #named #network #nondeterminism #predict: DAGger: clustering correlated uncertain data (to predict asset failure in energy networks) (DO, SJvS), pp. 1504–1507.
KDD-2012-TongCY #mining #named #nondeterminism: UFIMT: an uncertain frequent itemset mining toolbox (YT, LC, PSY), pp. 1508–1511.
KDD-2012-GiatsidisBTV #collaboration #graph #network #visual notation: Visual exploration of collaboration networks based on graph degeneracy (CG, KB, DMT, MV), pp. 1512–1515.
KDD-2012-ChauAVTF #graph #interactive #named #scalability #visualisation: TourViz: interactive visualization of connection pathways in large graphs (DHC, LA, JV, HT, CF), pp. 1516–1519.
KDD-2012-SchifanellaCCA #dependence #named #web: D-INDEX: a web environment for analyzing dependences among scientific collaborators (CS, LDC, MC, MAA), pp. 1520–1523.
KDD-2012-ChenCL #game studies #multi #network #social: Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks (HHC, YBC, SDL), pp. 1524–1527.
KDD-2012-ZhaoDWX #analysis #named #sentiment #twitter: MoodLens: an emoticon-based sentiment analysis system for chinese tweets (JZ, LD, JW, KX), pp. 1528–1531.
KDD-2012-TianSCM #framework: Intelligent advertising framework for digital signage (PT, AVS, KC, SMM), pp. 1532–1535.
KDD-2012-LiuSZFNW #data analysis #named #visualisation: AssocExplorer: an association rule visualization system for exploratory data analysis (GL, AS, HZ, MF, SKN, LW), pp. 1536–1539.
KDD-2012-KimKY #named #retrieval #video: GeoSearch: georeferenced video retrieval system (YK, JK, HY), pp. 1540–1543.
KDD-2012-GalbrunM #interactive #mining #named #visualisation: Siren: an interactive tool for mining and visualizing geospatial redescriptions (EG, PM), pp. 1544–1547.
KDD-2012-KumarMMLN #navigation #twitter: Navigating information facets on twitter (NIF-T) (SK, FM, GM, HL, UN), pp. 1548–1551.
KDD-2012-ShiZKYLW #named #network #recommendation #semantics: HeteRecom: a semantic-based recommendation systemin heterogeneous networks (CS, CZ, XK, PSY, GL, BW), pp. 1552–1555.
KDD-2012-XieHCZCA #framework #named #social: VOXSUP: a social engagement framework (YX, DH, ANC, KZ, YC, AA), pp. 1556–1559.
KDD-2012-ZhangZW #web: A system for extracting top-K lists from the web (ZZ, KQZ, HW), pp. 1560–1563.
KDD-2012-ShanZCSWYYL #multi #named #retrieval: EventSearch: a system for event discovery and retrieval on multi-type historical data (DS, WXZ, RC, BS, ZW, JY, HY, XL), pp. 1564–1567.
KDD-2012-LiL #named: EvaPlanner: an evacuation planner with social-based flocking kinetics (CTL, SDL), pp. 1568–1571.
KDD-2012-OhKPY #network #realtime #semantics: PubMed search and exploration with real-time semantic network construction (JO, TK, SP, HY), pp. 1572–1575.

Qiang Yang, Deepak Agarwal, Jian PeiProceedings of the 18th International Conference on Knowledge Discovery and Data MiningKDD, 2012.

Contents (206 items)

Qiang Yang, Deepak Agarwal, Jian Pei
Proceedings of the 18th International Conference on Knowledge Discovery and Data Mining
KDD, 2012.