Proceedings of the 19th International Conference on Knowledge Discovery and Data Mining
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Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy
Proceedings of the 19th International Conference on Knowledge Discovery and Data Mining
KDD, 2013.

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@proceedings{KDD-2013,
	acmid         = "2487575",
	address       = "Chicago, Illinois, USA",
	editor        = "Inderjit S. Dhillon and Yehuda Koren and Rayid Ghani and Ted E. Senator and Paul Bradley and Rajesh Parekh and Jingrui He and Robert L. Grossman and Ramasamy Uthurusamy",
	isbn          = "978-1-4503-2174-7",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 19th International Conference on Knowledge Discovery and Data Mining}",
	year          = 2013,
}

Contents (196 items)

KDD-2013-Ramakrishnan
Scale-out beyond map-reduce (RR), p. 1.
KDD-2013-NgK #education #online
The online revolution: education for everyone (AYN, DK), p. 2.
KDD-2013-Wright #data analysis #learning #optimisation
Optimization in learning and data analysis (SJW), p. 3.
KDD-2013-Varian #predict
Predicting the present with search engine data (HV), p. 4.
KDD-2013-TangZM #modelling #multi #topic
One theme in all views: modeling consensus topics in multiple contexts (JT, MZ, QM), pp. 5–13.
KDD-2013-El-AriniXFG #documentation #representation
Representing documents through their readers (KEA, MX, EBF, CG), pp. 14–22.
KDD-2013-BacheNS #documentation #metric
Text-based measures of document diversity (KB, DN, PS), pp. 23–31.
KDD-2013-AbbassiMT #constraints
Diversity maximization under matroid constraints (ZA, VSM, MT), pp. 32–40.
KDD-2013-ZafaraniL #approach #behaviour #social #social media
Connecting users across social media sites: a behavioral-modeling approach (RZ, HL), pp. 41–49.
KDD-2013-StajnerTPPJ #automation #social #social media
Automatic selection of social media responses to news (TS, BT, AMP, MP, AJ), pp. 50–58.
KDD-2013-YangCA #social
Estimating sharer reputation via social data calibration (JY, BCC, DA), pp. 59–67.
KDD-2013-ShenWLW #knowledge base #modelling #twitter
Linking named entities in Tweets with knowledge base via user interest modeling (WS, JW, PL, MW), pp. 68–76.
KDD-2013-HanLPL0KY #graph #named #parallel #performance
TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC (WSH, SL, KP, JHL, MSK, JK, HY), pp. 77–85.
KDD-2013-RamanSGJ #big data #pipes and filters
Beyond myopic inference in big data pipelines (KR, AS, JG, TJ), pp. 86–94.
KDD-2013-CannyZ #big data #data analysis
Big data analytics with small footprint: squaring the cloud (JC, HZ), pp. 95–103.
KDD-2013-TsourakakisBGGT #clique #quality
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees (CET, FB, AG, FG, MAT), pp. 104–112.
KDD-2013-GilpinED #algorithm #framework #learning
Guided learning for role discovery (GLRD): framework, algorithms, and applications (SG, TER, IND), pp. 113–121.
KDD-2013-WangCF #clique
Redundancy-aware maximal cliques (JW, JC, AWCF), pp. 122–130.
KDD-2013-GuALH #classification #graph
Selective sampling on graphs for classification (QG, CCA, JL, JH), pp. 131–139.
KDD-2013-ChenCMG
Density-based logistic regression (WC, YC, YM, BG), pp. 140–148.
KDD-2013-ZhangHL #learning #multi #named
MI2LS: multi-instance learning from multiple informationsources (DZ, JH, RDL), pp. 149–157.
KDD-2013-WangY #learning #query
Querying discriminative and representative samples for batch mode active learning (ZW, JY), pp. 158–166.
KDD-2013-NarasimhanA #bound #named #optimisation
SVMpAUCtight: a new support vector method for optimizing partial AUC based on a tight convex upper bound (HN, SA), pp. 167–175.
KDD-2013-TabeiKKY #constraints #scalability #similarity
Succinct interval-splitting tree for scalable similarity search of compound-protein pairs with property constraints (YT, AK, MK, YY), pp. 176–184.
KDD-2013-XiangYFWTY #learning #multi #predict
Multi-source learning with block-wise missing data for Alzheimer’s disease prediction (SX, LY, WF, YW, PMT, JY), pp. 185–193.
KDD-2013-DavidsonGCW #analysis #network
Network discovery via constrained tensor analysis of fMRI data (IND, SG, OTC, PBW), pp. 194–202.
KDD-2013-DasMGW #learning
Learning to question: leveraging user preferences for shopping advice (MD, GDFM, AG, IW), pp. 203–211.
KDD-2013-SutherlandPS #learning #matrix #rank
Active learning and search on low-rank matrices (DJS, BP, JGS), pp. 212–220.
KDD-2013-YinSCHC #named #recommendation
LCARS: a location-content-aware recommender system (HY, YS, BC, ZH, LC), pp. 221–229.
KDD-2013-OuCWWZY #scalability
Comparing apples to oranges: a scalable solution with heterogeneous hashing (MO, PC, FW, JW, WZ, SY), pp. 230–238.
KDD-2013-PhamP #kernel #performance #polynomial #scalability
Fast and scalable polynomial kernels via explicit feature maps (NP, RP), pp. 239–247.
KDD-2013-YenCLLL #classification #coordination #linear #memory management #scalability
Indexed block coordinate descent for large-scale linear classification with limited memory (IEHY, CFC, TWL, SWL, SDL), pp. 248–256.
KDD-2013-GopalY #classification #dependence #recursion #scalability #visual notation
Recursive regularization for large-scale classification with hierarchical and graphical dependencies (SG, YY), pp. 257–265.
KDD-2013-IwataSG #online #process #social
Discovering latent influence in online social activities via shared cascade poisson processes (TI, AS, ZG), pp. 266–274.
KDD-2013-KutzkovBBG #learning #named
STRIP: stream learning of influence probabilities (KK, AB, FB, AG), pp. 275–283.
KDD-2013-BahadoriLX #learning #performance #probability #process
Fast structure learning in generalized stochastic processes with latent factors (MTB, YL, EPX), pp. 284–292.
KDD-2013-LozanoJD #distance #estimation #matrix #multi #robust
Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance (ACL, HJ, XD), pp. 293–301.
KDD-2013-0001Z
Exact sparse recovery with L0 projections (PL, CHZ), pp. 302–310.
KDD-2013-SunXY #analysis #component #robust
Robust principal component analysis via capped norms (QS, SX, JY), pp. 311–319.
KDD-2013-ChengZGWSW #clustering #flexibility #graph #multi #robust
Flexible and robust co-regularized multi-domain graph clustering (WC, XZ, ZG, YW, PFS, WW), pp. 320–328.
KDD-2013-UganderKBK #clustering #graph #multi #network
Graph cluster randomization: network exposure to multiple universes (JU, BK, LB, JMK), pp. 329–337.
KDD-2013-ZhouL #clustering #network #social
Social influence based clustering of heterogeneous information networks (YZ, LL), pp. 338–346.
KDD-2013-TangWS #confluence #named #network #scalability #social
Confluence: conformity influence in large social networks (JT, SW, JS), pp. 347–355.
KDD-2013-WengRPGCBSMF #evolution #information management #network #social
The role of information diffusion in the evolution of social networks (LW, JR, NP, BG, CC, FB, RS, FM, AF), pp. 356–364.
KDD-2013-LinWHY #information management #learning #modelling #social
Extracting social events for learning better information diffusion models (SL, FW, QH, PSY), pp. 365–373.
KDD-2013-HallakCM #markov #process
Model selection in markovian processes (AH, DDC, SM), pp. 374–382.
KDD-2013-ChenHKB #learning #named
DTW-D: time series semi-supervised learning from a single example (YC, BH, EJK, GEAPAB), pp. 383–391.
KDD-2013-ChenTTY #analysis #kernel #modelling #performance
Model-based kernel for efficient time series analysis (HC, FT, PT, XY), pp. 392–400.
KDD-2013-EftekharGK
Information cascade at group scale (ME, YG, NK), pp. 401–409.
KDD-2013-TangYGHLP #cyber-physical #mining
Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system (LAT, XY, QG, JH, AL, TFLP), pp. 410–418.
KDD-2013-KleinerTASJ #performance
A general bootstrap performance diagnostic (AK, AT, SA, IS, MIJ), pp. 419–427.
KDD-2013-ZimekGCS #detection #effectiveness #performance
Subsampling for efficient and effective unsupervised outlier detection ensembles (AZ, MG, RJGBC, JS), pp. 428–436.
KDD-2013-WangDDZNTH #framework #mining #recursion #topic
A phrase mining framework for recursive construction of a topical hierarchy (CW, MD, ND, YZ, PN, TT, JH), pp. 437–445.
KDD-2013-FouldsBDSW #probability
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation (JRF, LB, CD, PS, MW), pp. 446–454.
KDD-2013-CaoTCJ #named #online #paradigm #social
WiseMarket: a new paradigm for managing wisdom of online social users (CCC, YT, LC, HVJ), pp. 455–463.
KDD-2013-WangS #classification #multi #relational #social #using
Multi-label relational neighbor classification using social context features (XW, GS), pp. 464–472.
KDD-2013-ZhuYGM #analysis #modelling #scalability #topic
Scalable text and link analysis with mixed-topic link models (YZ, XY, LG, CM), pp. 473–481.
KDD-2013-SongLLY #classification #collaboration #microblog #process
Collaborative boosting for activity classification in microblogs (YS, ZL, CWkL, QY), pp. 482–490.
KDD-2013-AbrahaoCKP #complexity #network
Trace complexity of network inference (BDA, FC, RK, AP), pp. 491–499.
KDD-2013-DasGPS #social
Debiasing social wisdom (AD, SG, RP, MS), pp. 500–508.
KDD-2013-RanuHS #mining #network
Mining discriminative subgraphs from global-state networks (SR, MXH, AKS), pp. 509–517.
KDD-2013-AnchuriZBGS #approximate #graph #mining
Approximate graph mining with label costs (PA, MJZ, OB, SG, MS), pp. 518–526.
KDD-2013-LiuCZ #approach #performance #probability
Summarizing probabilistic frequent patterns: a fast approach (CL, LC, CZ), pp. 527–535.
KDD-2013-WuLYT #mining #sequence
Mining high utility episodes in complex event sequences (CWW, YFL, PSY, VST), pp. 536–544.
KDD-2013-ShenY #difference #graph #mining #privacy
Mining frequent graph patterns with differential privacy (ES, TY), pp. 545–553.
KDD-2013-BabaK #crowdsourcing #estimation #quality #statistics
Statistical quality estimation for general crowdsourcing tasks (YB, HK), pp. 554–562.
KDD-2013-WangBLZL #predict
Psychological advertising: exploring user psychology for click prediction in sponsored search (TW, JB, SL, YZ, TYL), pp. 563–571.
KDD-2013-Lacoste-JulienPDKGG #knowledge base #named #scalability
SIGMa: simple greedy matching for aligning large knowledge bases (SLJ, KP, AD, GK, TG, ZG), pp. 572–580.
KDD-2013-Liberty #matrix #sketching
Simple and deterministic matrix sketching (EL), pp. 581–588.
KDD-2013-JhaSP #algorithm #performance #streaming #using
A space efficient streaming algorithm for triangle counting using the birthday paradox (MJ, CS, AP), pp. 589–597.
KDD-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.
KDD-2013-KongCY #classification #correlation #mining #multi #network
Multi-label classification by mining label and instance correlations from heterogeneous information networks (XK, BC, PSY), pp. 614–622.
KDD-2013-LouCGH #interactive #modelling
Accurate intelligible models with pairwise interactions (YL, RC, JG, GH), pp. 623–631.
KDD-2013-MukherjeeKLWHCG #behaviour #using
Spotting opinion spammers using behavioral footprints (AM, AK, BL, JW, MH, MC, RG), pp. 632–640.
KDD-2013-YangWFZWY #algorithm #multi #performance #problem
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems (SY, JW, WF, XZ, PW, JY), pp. 641–649.
KDD-2013-ChakrabartiH #learning #scalability #social
Speeding up large-scale learning with a social prior (DC, RH), pp. 650–658.
KDD-2013-KabburNK #modelling #named #recommendation #similarity
FISM: factored item similarity models for top-N recommender systems (SK, XN, GK), pp. 659–667.
KDD-2013-NaganoITUA #modelling #parametricity
Nonparametric hierarchal bayesian modeling in non-contractual heterogeneous survival data (SN, YI, NT, TU, MA), pp. 668–676.
KDD-2013-MoZY #crowdsourcing
Cross-task crowdsourcing (KM, EZ, QY), pp. 677–685.
KDD-2013-JoglekarGP
Evaluating the crowd with confidence (MJ, HGM, AGP), pp. 686–694.
KDD-2013-ZhaoWYLZ #network #social
Inferring social roles and statuses in social networks (YZ, GW, PSY, SL, SZ), pp. 695–703.
KDD-2013-LiuYK #adaptation #modelling #process #using
Adaptive collective routing using gaussian process dynamic congestion models (SL, YY, RK), pp. 704–712.
KDD-2013-YangHLC #network #online #probability #social
Maximizing acceptance probability for active friending in online social networks (DNY, HJH, WCL, WC), pp. 713–721.
KDD-2013-WangLSG #mining #multi
Mining evolutionary multi-branch trees from text streams (XW, SL, YS, BG), pp. 722–730.
KDD-2013-WangGS #graph
Active search on graphs (XW, RG, JGS), pp. 731–738.
KDD-2013-KuangP #clustering #documentation #matrix #performance
Fast rank-2 nonnegative matrix factorization for hierarchical document clustering (DK, HP), pp. 739–747.
KDD-2013-ZhouTWN #approach #predict #probability
A “semi-lazy” approach to probabilistic path prediction (JZ, AKHT, WW, WSN), pp. 748–756.
KDD-2013-ZhengM #optimisation #parallel
Optimizing parallel belief propagation in junction treesusing regression (LZ, OJM), pp. 757–765.
KDD-2013-GeGLZ #estimation #learning #multi
Multi-source deep learning for information trustworthiness estimation (LG, JG, XL, AZ), pp. 766–774.
KDD-2013-KuoYHKL #network #predict #social #statistics #using
Unsupervised link prediction using aggregative statistics on heterogeneous social networks (TTK, RY, YYH, PHK, SDL), pp. 775–783.
KDD-2013-LeeNBC #predict #social
Link prediction with social vector clocks (CL, BN, UB, PC), pp. 784–792.
KDD-2013-KaramshukNSNM #mining #named #online
Geo-spotting: mining online location-based services for optimal retail store placement (DK, AN, SS, VN, CM), pp. 793–801.
KDD-2013-LiWWF
Location-aware publish/subscribe (GL, YW, TW, JF), pp. 802–810.
KDD-2013-SunBK #identification #optimisation #polynomial
Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features (JS, JB, HRK), pp. 811–819.
KDD-2013-ErdosIBT #network
Repetition-aware content placement in navigational networks (DE, VI, AB, ET), pp. 820–828.
KDD-2013-WangMP #metric #scalability #similarity
Scalable all-pairs similarity search in metric spaces (YW, AM, SP), pp. 829–837.
KDD-2013-AltinigneliPB #parallel #using
Massively parallel expectation maximization using graphics processing units (MCA, CP, CB), pp. 838–846.
KDD-2013-ThorntonHHL #algorithm #classification #named #optimisation
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (CT, FH, HHH, KLB), pp. 847–855.
KDD-2013-TanXGW #learning #metric #modelling #optimisation #rank #ranking
Direct optimization of ranking measures for learning to rank models (MT, TX, LG, SW), pp. 856–864.
KDD-2013-ChenXJ #modelling #multi #probability #sequence
Multi-space probabilistic sequence modeling (SC, JX, TJ), pp. 865–873.
KDD-2013-HaoCZ0RK #learning #towards
Towards never-ending learning from time series streams (YH, YC, JZ, BH, TR, EJK), pp. 874–882.
KDD-2013-Mu0ZT #probability #problem #scalability
Constrained stochastic gradient descent for large-scale least squares problem (YM, WD, TZ, DT), pp. 883–891.
KDD-2013-ChenHL #multi #recommendation
Making recommendations from multiple domains (WC, WH, MLL), pp. 892–900.
KDD-2013-CuiJYWZY #approach #data-driven #network #predict
Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
KDD-2013-ZhangWF #recommendation
Combining latent factor model with location features for event-based group recommendation (WZ, JW, WF), pp. 910–918.
KDD-2013-ZhaoH #detection #learning #online
Cost-sensitive online active learning with application to malicious URL detection (PZ, SCHH), pp. 919–927.
KDD-2013-LuB0L #perspective
The bang for the buck: fair competitive viral marketing from the host perspective (WL, FB, AG, LVSL), pp. 928–936.
KDD-2013-ZhongFZY #modelling #network #social
Modeling the dynamics of composite social networks (EZ, WF, YZ, QY), pp. 937–945.
KDD-2013-RistanoskiLB
A time-dependent enhanced support vector machine for time series regression (GR, WL, JB), pp. 946–954.
KDD-2013-NiemannW #approach #collaboration #recommendation
A new collaborative filtering approach for increasing the aggregate diversity of recommender systems (KN, MW), pp. 955–963.
KDD-2013-ZhuZZZ #modelling #scalability #topic
Scalable inference in max-margin topic models (JZ, XZ, LZ, BZ), pp. 964–972.
KDD-2013-GaneshapillaiG #data-driven
A data-driven method for in-game decision making in MLB: when to pull a starting pitcher (GG, JVG), pp. 973–979.
KDD-2013-BaiJS #automation #generative #set
Exploiting user clicks for automatic seed set generation for entity matching (XB, FPJ, SHS), pp. 980–988.
KDD-2013-YinLLW #perspective #recommendation
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective (PY, PL, WCL, MW), pp. 989–997.
KDD-2013-ZhuXWL #distance #graph #performance #query #scalability
Efficient single-source shortest path and distance queries on large graphs (ADZ, XX, SW, WL), pp. 998–1006.
KDD-2013-CiglanLN #community #detection #network #on the
On community detection in real-world networks and the importance of degree assortativity (MC, ML, KN), pp. 1007–1015.
KDD-2013-BeiCDHQ #fault #network #social
Trial and error in influential social networks (XB, NC, LD, XH, RQ), pp. 1016–1024.
KDD-2013-ZhengDMZ #collaboration #interactive #matrix #multi #predict
Collaborative matrix factorization with multiple similarities for predicting drug-target interactions (XZ, HD, HM, SZ), pp. 1025–1033.
KDD-2013-ZhouLSYWY #identification #named
FeaFiner: biomarker identification from medical data through feature generalization and selection (JZ, ZL, JS, LY, FW, JY), pp. 1034–1042.
KDD-2013-LiuFYX #learning #recommendation
Learning geographical preferences for point-of-interest recommendation (BL, YF, ZY, HX), pp. 1043–1051.
KDD-2013-MorenoNK #graph #learning #modelling
Learning mixed kronecker product graph models with simulated method of moments (SM, JN, SK), pp. 1052–1060.
KDD-2013-KapoorSSS
Measuring spontaneous devaluations in user preferences (KK, NS, JS, PRS), pp. 1061–1069.
KDD-2013-LiWHHRY #ambiguity #mining
Mining evidences for named entity disambiguation (YL, CW, FH, JH, DR, XY), pp. 1070–1078.
KDD-2013-JohnsonS #data analysis #privacy
Privacy-preserving data exploration in genome-wide association studies (AJ, VS), pp. 1079–1087.
KDD-2013-SunMY #overview
Synthetic review spamming and defense (HS, AM, XY), pp. 1088–1096.
KDD-2013-ShahafYSJWL #scalability
Information cartography: creating zoomable, large-scale maps of information (DS, JY, CS, JJ, HW, JL), pp. 1097–1105.
KDD-2013-NishimuraU #algorithm #clustering #graph
Restreaming graph partitioning: simple versatile algorithms for advanced balancing (JN, JU), pp. 1106–1114.
KDD-2013-WangZR #comprehension #evolution #generative #probability #research
Understanding evolution of research themes: a probabilistic generative model for citations (XW, CZ, DR), pp. 1115–1123.
KDD-2013-CaiQ #analysis #linear #on the #rank
On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions (XC, CHQD, FN, HH), pp. 1124–1132.
KDD-2013-Etzioni
To buy or not to buy: that is the question (OE), p. 1133.
KDD-2013-Schadt #mining #personalisation
Mining the digital universe of data to develop personalized cancer therapies (EES), p. 1134.
KDD-2013-Howard #learning
The business impact of deep learning (JH), p. 1135.
KDD-2013-Gesher #adaptation
Adaptive adversaries: building systems to fight fraud and cyber intruders (AG), p. 1136.
KDD-2013-Ghani #scalability #social
Targeting and influencing at scale: from presidential elections to social good (RG), p. 1137.
KDD-2013-Bhandarkar #named
Hadoop: a view from the trenches (MB), p. 1138.
KDD-2013-Marty #how #security #visual notation
Cyber security: how visual analytics unlock insight (RM), p. 1139.
KDD-2013-Neumann #big data #problem #using
Using “big data” to solve “small data” problems (CN), p. 1140.
KDD-2013-AggourH #information management
Financing lead triggers: empowering sales reps through knowledge discovery and fusion (KSA, BH), pp. 1141–1149.
KDD-2013-ChenLYSY #clustering #optimisation #query
Query clustering based on bid landscape for sponsored search auction optimization (YC, WL, JY, AS, TWY), pp. 1150–1158.
KDD-2013-KermanyMBNM #analysis #framework
Analysis of advanced meter infrastructure data of water consumption in apartment buildings (EK, HM, DB, YN, HM), pp. 1159–1167.
KDD-2013-KohaviDFWXP #online #scalability
Online controlled experiments at large scale (RK, AD, BF, TW, YX, NP), pp. 1168–1176.
KDD-2013-HongLLP #named #online
iHR: an online recruiting system for Xiamen Talent Service Center (WH, LL, TL, WP), pp. 1177–1185.
KDD-2013-AsadiLB #memory management #policy #realtime #twitter
Dynamic memory allocation policies for postings in real-time Twitter search (NA, JL, MB), pp. 1186–1194.
KDD-2013-JieLSHSC #feedback #online
A unified search federation system based on online user feedback (LJ, SL, RS, EH, HS, YC), pp. 1195–1203.
KDD-2013-MelvilleCLPMSAA
Amplifying the voice of youth in Africa via text analytics (PM, VC, RDL, JP, MM, SS, RA, SA), pp. 1204–1212.
KDD-2013-RaederPDSP #clustering #reduction #scalability #using
Scalable supervised dimensionality reduction using clustering (TR, CP, BD, OS, FJP), pp. 1213–1221.
KDD-2013-McMahanHSYEGNPDGCLWHBK #predict
Ad click prediction: a view from the trenches (HBM, GH, DS, MY, DE, JG, LN, TP, ED, DG, SC, DL, MW, AMH, TB, JK), pp. 1222–1230.
KDD-2013-SongZSHUS #modelling #probability #reasoning #scalability
Modeling and probabilistic reasoning of population evacuation during large-scale disaster (XS, QZ, YS, TH, SU, RS), pp. 1231–1239.
KDD-2013-StitelmanPDHRP #detection #network #online #scalability #using
Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
KDD-2013-TangLSPG #automation #framework #monitoring #optimisation #scalability
An integrated framework for optimizing automatic monitoring systems in large IT infrastructures (LT, TL, LS, FP, GG), pp. 1249–1257.
KDD-2013-WeissDB #predict #quality
Improving quality control by early prediction of manufacturing outcomes (SMW, AD, RJB), pp. 1258–1266.
KDD-2013-EmersonWN #data mining #mining #profiling
A data mining driven risk profiling method for road asset management (DE, JW, RN), pp. 1267–1275.
KDD-2013-FuLLFHS #feedback #mobile #people #why
Why people hate your app: making sense of user feedback in a mobile app store (BF, JL, LL, CF, JIH, NMS), pp. 1276–1284.
KDD-2013-WangDYWCSI #clustering #data mining #framework #identification #mining #towards
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification (DW, WD, KY, XW, PC, DLS, SI), pp. 1285–1293.
KDD-2013-YiCLSY #online #performance #predict
Predictive model performance: offline and online evaluations (JY, YC, JL, SS, TWY), pp. 1294–1302.
KDD-2013-BakshyE #evaluation #nondeterminism #online
Uncertainty in online experiments with dependent data: an evaluation of bootstrap methods (EB, DE), pp. 1303–1311.
KDD-2013-ChandolaSS #information management
Knowledge discovery from massive healthcare claims data (VC, SRS, JCS), pp. 1312–1320.
KDD-2013-BhardwajSDHPS #visual notation
Palette power: enabling visual search through colors (AB, ADS, WD, RH, RP, NS), pp. 1321–1329.
KDD-2013-FeiKSNMH #detection #learning
Heat pump detection from coarse grained smart meter data with positive and unlabeled learning (HF, YK, SS, MRN, SKM, JH), pp. 1330–1338.
KDD-2013-HarpazDLS #empirical
Empirical bayes model to combine signals of adverse drug reactions (RH, WD, PL, NHS), pp. 1339–1347.
KDD-2013-KengneFTIRWS #execution #multi #scalability #sequence
Efficiently rewriting large multimedia application execution traces with few event sequences (CKK, LCF, AT, NI, MCR, TW, MS), pp. 1348–1356.
KDD-2013-KongY #automation #classification #distance #learning
Discriminant malware distance learning on structural information for automated malware classification (DK, GY), pp. 1357–1365.
KDD-2013-LuceyOCRM #using
Assessing team strategy using spatiotemporal data (PL, DO, GPKC, JR, IM), pp. 1366–1374.
KDD-2013-MaiyaTLR #analysis #documentation
Exploratory analysis of highly heterogeneous document collections (ASM, JPT, FLL, RMR), pp. 1375–1383.
KDD-2013-MontgomerySCM #experience #predict
Experience from hosting a corporate prediction market: benefits beyond the forecasts (TAM, PMS, MJC, PEM), pp. 1384–1392.
KDD-2013-SenatorGMYRPHRBCEJBCGKZBMMWDFWDEILKFCFGJ #database #detection #process
Detecting insider threats in a real corporate database of computer usage activity (TES, HGG, AM, WTY, BR, RP, DH, MR, DAB, EC, IAE, JJ, VB, DHC, OG, OK, AZ, EB, RLMI, RM, LW, TGD, AF, WKW, SD, AE, JI, JYL, DK, CF, DDC, LF, AG, DJ), pp. 1393–1401.
KDD-2013-ShakarianRCK #community #composition #distance #mining #network #social
Mining for geographically disperse communities in social networks by leveraging distance modularity (PS, PR, DC, CK), pp. 1402–1409.
KDD-2013-TranPLHBV #framework #predict #risk management
An integrated framework for suicide risk prediction (TT, DQP, WL, RH, MB, SV), pp. 1410–1418.
KDD-2013-Vatsavai #approach #learning #multi #using
Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imagery (RRV), pp. 1419–1426.
KDD-2013-WuNTWXX #framework #privacy
A privacy preserving framework for managing vehicle data in road pricing systems (HW, WSN, KLT, WW, SX, MX), pp. 1427–1435.
KDD-2013-ZhengLH #big data #named #quality
U-Air: when urban air quality inference meets big data (YZ, FL, HPH), pp. 1436–1444.
KDD-2013-BouadjenekHB #framework #named #open source #personalisation #platform #social #web
LAICOS: an open source platform for personalized social web search (MRB, HH, MB), pp. 1446–1449.
KDD-2013-ChengXCACG #mining #named #realtime #social #social media
JobMiner: a real-time system for mining job-related patterns from social media (YC, YX, ZC, AA, ANC, SG), pp. 1450–1453.
KDD-2013-ChiangLPY
Inferring distant-time location in low-sampling-rate trajectories (MFC, YHL, WCP, PSY), pp. 1454–1457.
KDD-2013-DanilevskyWTNCDWH #mining #named #semistructured data #topic
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data (MD, CW, FT, SN, GC, ND, LW, JH), pp. 1458–1461.
KDD-2013-GundechaRFL #social #social media
A tool for collecting provenance data in social media (PG, SR, ZF, HL), pp. 1462–1465.
KDD-2013-HuaCZLR #detection #named #twitter
STED: semi-supervised targeted-interest event detectionin in twitter (TH, FC, LZ, CTL, NR), pp. 1466–1469.
KDD-2013-JinSSBWR #modelling #named #using
Forex-foreteller: currency trend modeling using news articles (FJ, NS, PS, PB, WW, NR), pp. 1470–1473.
KDD-2013-LeeAC #realtime #twitter #using
Real-time disease surveillance using Twitter data: demonstration on flu and cancer (KL, AA, ANC), pp. 1474–1477.
KDD-2013-LeeLM #evolution #keyword #named #social
KeySee: supporting keyword search on evolving events in social streams (PL, LVSL, EEM), pp. 1478–1481.
KDD-2013-MorstatterKLM #comprehension #twitter
Understanding Twitter data with TweetXplorer (FM, SK, HL, RM), pp. 1482–1485.
KDD-2013-RautiainenSHYK #concept #mining #online
An online system with end-user services: mining novelty concepts from tv broadcast subtitles (MR, JS, AH, MY, VK), pp. 1486–1489.
KDD-2013-RobardetSPF #dependence
When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations (CR, VMS, MP, AF), pp. 1490–1493.
KDD-2013-TaoLHZCDDDGJKKLLLLOSTWZZ #mining #multi #named
EventCube: multi-dimensional search and mining of structured and text data (FT, KHL, JH, CZ, XC, MD, ND, BD, JG, HJ, RK, AK, QL, YL, CXL, JL, NCO, ANS, RT, CW, DZ, BZ), pp. 1494–1497.
KDD-2013-WangLLWWC #analysis #named #twitter
SEA: a system for event analysis on chinese tweets (YW, HL, HL, JW, ZW, JC), pp. 1498–1501.
KDD-2013-YangWZCZZYMFWLLT #named #network #scalability #social
SAE: social analytic engine for large networks (YY, JW, YZ, WC, JZ, HZ, ZY, BM, ZF, SW, XL, DL, JT), pp. 1502–1505.
KDD-2013-ZengJZLLLSZLDLW #data mining #distributed #mining #named #performance
FIU-Miner: a fast, integrated, and user-friendly system for data mining in distributed environment (CZ, YJ, LZ, JL, LL, HL, CS, WZ, TL, BD, ML, PW), pp. 1506–1509.
KDD-2013-ZhangWNLWY #how #named #network #predict #social #visualisation
LAFT-Explorer: inferring, visualizing and predicting how your social network expands (JZ, CW, YN, YL, JW, PSY), pp. 1510–1513.
KDD-2013-ZhaoYNG #framework #learning #twitter
A transfer learning based framework of crowd-selection on twitter (ZZ, DY, WN, SG), pp. 1514–1517.
KDD-2013-ZolfagharASCRV #named
Risk-O-Meter: an intelligent clinical risk calculator (KZ, JA, DS, SCC, SBR, NV), pp. 1518–1521.
KDD-2013-FriezeGT #algorithm #graph #mining #modelling #scalability
Algorithmic techniques for modeling and mining large graphs (AMAzING) (AMF, AG, CET), p. 1523.
KDD-2013-PapadimitriouE #mining #mobile #overview
Mining data from mobile devices: a survey of smart sensing and analytics (SP, TER), p. 1524.
KDD-2013-SunR #big data #data analysis
Big data analytics for healthcare (JS, CKR), p. 1525.
KDD-2013-GetoorM #big data
Entity resolution for big data (LG, AM), p. 1527.
KDD-2013-GetoorM13a #network
Network sampling (LG, AM), p. 1528.
KDD-2013-AhmedS #modelling #parametricity #scalability
The dataminer’s guide to scalable mixed-membership and nonparametric bayesian models (AA, AJS), p. 1529.

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