BibSLEIGH — Proceedings of the 17th International Conference on Knowledge Discovery and Data Mining

Chid Apté, Joydeep Ghosh, Padhraic Smyth
Proceedings of the 17th International Conference on Knowledge Discovery and Data Mining
KDD, 2011.

KER

@proceedings{KDD-2011,
	address       = "San Diego, California, USA",
	editor        = "Chid Apté and Joydeep Ghosh and Padhraic Smyth",
	isbn          = "978-1-4503-0813-7",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 17th International Conference on Knowledge Discovery and Data Mining}",
	year          = 2011,
}

Contents (177 items)

KDD-2011-Boyd #distributed #embedded #optimisation #realtime #scalability: Convex optimization: from embedded real-time to large-scale distributed (SB), p. 1.
KDD-2011-Norvig #data analysis #internet: Internet scale data analysis (PN), p. 2.
KDD-2011-Haussler: Cancer genomics (DH), pp. 3–4.
KDD-2011-Pearl: The mathematics of causal inference (JP), p. 5.
KDD-2011-WilkinsonAN #classification #named #random: CHIRP: a new classifier based on composite hypercubes on iterated random projections (LW, AA, DTN), pp. 6–14.
KDD-2011-ChakiCG #learning: Supervised learning for provenance-similarity of binaries (SC, CC, AG), pp. 15–23.
KDD-2011-WangDCV #adaptation #classification #multi #scalability: Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification (ZW, ND, KC, SV), pp. 24–32.
KDD-2011-YuanHL: An improved GLMNET for l1-regularized logistic regression (GXY, CHH, CJL), pp. 33–41.
KDD-2011-ChenZY #learning #multi #rank #robust: Integrating low-rank and group-sparse structures for robust multi-task learning (JC, JZ, JY), pp. 42–50.
KDD-2011-MiettinenV #matrix #order: Model order selection for boolean matrix factorization (PM, JV), pp. 51–59.
KDD-2011-GleichL #rank: Rank aggregation via nuclear norm minimization (DFG, LHL), pp. 60–68.
KDD-2011-GemullaNHS #distributed #matrix #probability #scalability: Large-scale matrix factorization with distributed stochastic gradient descent (RG, EN, PJH, YS), pp. 69–77.
KDD-2011-DubeyCB #graph #ranking: Diversity in ranking via resistive graph centers (AD, SC, CB), pp. 78–86.
KDD-2011-NamataKG #graph #identification: Collective graph identification (GN, SK, LG), pp. 87–95.
KDD-2011-GaoLWWL #graph #metadata #ranking #scalability: Semi-supervised ranking on very large graphs with rich metadata (BG, TYL, WW, TW, HL), pp. 96–104.
KDD-2011-MaiyaB #bias #network #towards: Benefits of bias: towards better characterization of network sampling (ASM, TYBW), pp. 105–113.
KDD-2011-AhmedLAJS #behaviour #distributed #scalability: Scalable distributed inference of dynamic user interests for behavioral targeting (AA, YL, MA, VJ, AJS), pp. 114–122.
KDD-2011-LowAS #multi #personalisation: Multiple domain user personalization (YL, DA, AJS), pp. 123–131.
KDD-2011-AgarwalCEW #multi: Click shaping to optimize multiple objectives (DA, BCC, PE, XW), pp. 132–140.
KDD-2011-MenonCGAK #collaboration #predict #using: Response prediction using collaborative filtering with hierarchies and side-information (AKM, KPC, SG, DA, NK), pp. 141–149.
KDD-2011-GuerraVMA #analysis #approach #bias #realtime #sentiment: From bias to opinion: a transfer-learning approach to real-time sentiment analysis (PHCG, AV, WMJ, VA), pp. 150–158.
KDD-2011-ChenGTY #rating: User reputation in a comment rating environment (BCC, JG, BLT, JY), pp. 159–167.
KDD-2011-TsaparasNT #set: Selecting a comprehensive set of reviews (PT, AN, ET), pp. 168–176.
KDD-2011-ZhangLWGZG #data type #modelling #performance #predict: Enabling fast prediction for ensemble models on data streams (PZ, JL, PW, BJG, XZ, LG), pp. 177–185.
KDD-2011-AttenbergP #learning #online: Online active inference and learning (JA, FJP), pp. 186–194.
KDD-2011-ChuZLTT #data type #learning #online: Unbiased online active learning in data streams (WC, MZ, LL, AT, BLT), pp. 195–203.
KDD-2011-ValizadeganJW #learning #multi #predict: Learning to trade off between exploration and exploitation in multiclass bandit prediction (HV, RJ, SW), pp. 204–212.
KDD-2011-MukerjeePG #algorithm #framework #linear #mining #platform #semantics #sql: Linear scale semantic mining algorithms in microsoft SQL server’s semantic platform (KM, TP, SG), pp. 213–221.
KDD-2011-YeLZZTGA #detection: Combining file content and file relations for cloud based malware detection (YY, TL, SZ, WZ, ET, UG, MA), pp. 222–230.
KDD-2011-BekkermanG #classification #documentation: High-precision phrase-based document classification on a modern scale (RB, MG), pp. 231–239.
KDD-2011-ChenDWSNL #analysis #process: Activity analysis based on low sample rate smart meters (FC, JD, BW, SS, MRN, CTL), pp. 240–248.
KDD-2011-MetwallyP: Estimating the number of users behind ip addresses for combating abusive traffic (AM, MP), pp. 249–257.
KDD-2011-ShaoL #data-driven #modelling #multi: Data-driven multi-touch attribution models (XS, LL), pp. 258–264.
KDD-2011-CuiZLM #online: Bid landscape forecasting in online ad exchange marketplace (YC, RZ, WL, JM), pp. 265–273.
KDD-2011-SculleyOPSHZ #detection: Detecting adversarial advertisements in the wild (DS, MEO, MP, BS, JH, YZ), pp. 274–282.
KDD-2011-ZhengSTLLC #challenge #data mining #information management #mining #mobile: Applying data mining techniques to address disaster information management challenges on mobile devices (LZ, CS, LT, TL, SL, SCC), pp. 283–291.
KDD-2011-LuoXZGD #composition #perspective: Enhancing investment decisions in P2P lending: an investor composition perspective (CL, HX, WZ, YG, GD), pp. 292–300.
KDD-2011-McCloskeyKIKB #behaviour #data mining #mining #using: From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior (DPM, MEK, SPI, IK, SBM), pp. 301–306.
KDD-2011-GabburPFT #approach #detection: A pattern discovery approach to retail fraud detection (PG, SP, QF, HT), pp. 307–315.
KDD-2011-YuanZXS #physics: Driving with knowledge from the physical world (JY, YZ, XX, GS), pp. 316–324.
KDD-2011-GhaniK #detection #fault #interactive #learning: Interactive learning for efficiently detecting errors in insurance claims (RG, MK), pp. 325–333.
KDD-2011-GhotingKPK #algorithm #data mining #implementation #machine learning #mining #named #parallel #pipes and filters #tool support: NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce (AG, PK, EPDP, RK), pp. 334–342.
KDD-2011-CerratoJG #classification #generative: Classification of proxy labeled examples for marketing segment generation (DC, RJ, AG), pp. 343–350.
KDD-2011-AgrawalIV: Ameliorating buyer’s remorse (RA, SI, RV), pp. 351–359.
KDD-2011-PatnaikBRPKH #case study #challenge #experience #mining #sequence: Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges (DP, PB, NR, LP, BJK, DAH), pp. 360–368.
KDD-2011-SimonLJV #comprehension #image #using: Understanding atrophy trajectories in alzheimer’s disease using association rules on MRI images (GJS, PWL, CRJJ, PV), pp. 369–376.
KDD-2011-PradelSDGRUFD #case study #recommendation: A case study in a recommender system based on purchase data (BP, SS, JD, SG, CR, NU, FFS, FDJ), pp. 377–385.
KDD-2011-ChenRT #adaptation #detection #incremental #learning: Detecting bots via incremental LS-SVM learning with dynamic feature adaptation (FC, SR, PNT), pp. 386–394.
KDD-2011-NeuvirthOHLKER #case study #personalisation #towards: Toward personalized care management of patients at risk: the diabetes case study (HN, MOF, JH, JL, MSK, SE, MRZ), pp. 395–403.
KDD-2011-KannanGAF #specification: Matching unstructured product offers to structured product specifications (AK, IEG, RA, AF), pp. 404–412.
KDD-2011-BilenkoR #personalisation #predict: Predictive client-side profiles for personalized advertising (MB, MR), pp. 413–421.
KDD-2011-LinSM #adaptation #modelling #online #topic #twitter: Smoothing techniques for adaptive online language models: topic tracking in tweet streams (JL, RS, WM), pp. 422–429.
KDD-2011-PennacchiottiP #classification #twitter: Democrats, republicans and starbucks afficionados: user classification in twitter (MP, AMP), pp. 430–438.
KDD-2011-El-AriniG #keyword: Beyond keyword search: discovering relevant scientific literature (KEA, CG), pp. 439–447.
KDD-2011-WangB #collaboration #modelling #recommendation #topic: Collaborative topic modeling for recommending scientific articles (CW, DMB), pp. 448–456.
KDD-2011-RamageMD #mining #modelling #topic: Partially labeled topic models for interpretable text mining (DR, CDM, STD), pp. 457–465.
KDD-2011-SnowsillFBC #question: Refining causality: who copied from whom? (TMS, NF, TDB, NC), pp. 466–474.
KDD-2011-ZhuLCX #performance #topic: Conditional topical coding: an efficient topic model conditioned on rich features (JZ, NL, NC, EPX), pp. 475–483.
KDD-2011-HongYGD #modelling #roadmap #topic: Tracking trends: incorporating term volume into temporal topic models (LH, DY, JG, BDD), pp. 484–492.
KDD-2011-MohammedCFY #data mining #mining: Differentially private data release for data mining (NM, RC, BCMF, PSY), pp. 493–501.
KDD-2011-ThanhRT #implementation #testing: k-NN as an implementation of situation testing for discrimination discovery and prevention (BLT, SR, FT), pp. 502–510.
KDD-2011-GundechaBL #network #privacy #social: Exploiting vulnerability to secure user privacy on a social networking site (PG, GB, HL), pp. 511–519.
KDD-2011-YeSLYJ #network #on the #semantics #social: On the semantic annotation of places in location-based social networks (MY, DS, WCL, PY, KJ), pp. 520–528.
KDD-2011-MathioudakisBCGU #network: Sparsification of influence networks (MM, FB, CC, AG, AU), pp. 529–537.
KDD-2011-DasDH #collaboration #design #web: Leveraging collaborative tagging for web item design (MD, GD, VH), pp. 538–546.
KDD-2011-BrucknerS #game studies #predict #problem: Stackelberg games for adversarial prediction problems (MB, TS), pp. 547–555.
KDD-2011-KaufmanRP #data mining #detection #mining: Leakage in data mining: formulation, detection, and avoidance (SK, SR, CP), pp. 556–563.
KDD-2011-Bie #data mining #framework #mining: An information theoretic framework for data mining (TDB), pp. 564–572.
KDD-2011-MampaeyTV #what: Tell me what i need to know: succinctly summarizing data with itemsets (MM, NT, JV), pp. 573–581.
KDD-2011-BoleyLPG #performance #random: Direct local pattern sampling by efficient two-step random procedures (MB, CL, DP, TG), pp. 582–590.
KDD-2011-BifetHPG #data type #evolution #graph #mining: Mining frequent closed graphs on evolving data streams (AB, GH, BP, RG), pp. 591–599.
KDD-2011-AndrzejewskiB #feedback #information retrieval #topic: Latent topic feedback for information retrieval (DA, DB), pp. 600–608.
KDD-2011-AgarwalCL #locality #modelling #multi #recommendation: Localized factor models for multi-context recommendation (DA, BCC, BL), pp. 609–617.
KDD-2011-WangLZ #analysis #keyword #rating: Latent aspect rating analysis without aspect keyword supervision (HW, YL, CZ), pp. 618–626.
KDD-2011-RamG #estimation: Density estimation trees (PR, AGG), pp. 627–635.
KDD-2011-ApplegateDKU #clustering #distance #multi #using: Unsupervised clustering of multidimensional distributions using earth mover distance (DA, TD, SK, SU), pp. 636–644.
KDD-2011-FujimakiSM #modelling #online: Online heterogeneous mixture modeling with marginal and copula selection (RF, YS, SM), pp. 645–653.
KDD-2011-KongFY #classification #graph: Dual active feature and sample selection for graph classification (XK, WF, PSY), pp. 654–662.
KDD-2011-HendersonGLAETF #graph #mining #recursion #using: It’s who you know: graph mining using recursive structural features (KH, BG, LL, LA, TER, HT, CF), pp. 663–671.
KDD-2011-ChuC #network: Triangle listing in massive networks and its applications (SC, JC), pp. 672–680.
KDD-2011-EneIM #clustering #performance #pipes and filters #using: Fast clustering using MapReduce (AE, SI, BM), pp. 681–689.
KDD-2011-CordeiroTTLKF #clustering #dataset #multi #pipes and filters #scalability: Clustering very large multi-dimensional datasets with MapReduce (RLFC, CTJ, AJMT, JL, UK, CF), pp. 690–698.
KDD-2011-ChangR #convergence #linear #memory management #modelling #performance #scalability: Selective block minimization for faster convergence of limited memory large-scale linear models (KWC, DR), pp. 699–707.
KDD-2011-IfrimW #biology #bound #classification #coordination #predict #sequence: Bounded coordinate-descent for biological sequence classification in high dimensional predictor space (GI, CW), pp. 708–716.
KDD-2011-ChattopadhyayYPFD #adaptation #detection #multi: Multi-source domain adaptation and its application to early detection of fatigue (RC, JY, SP, WF, ID), pp. 717–725.
KDD-2011-AchlioptasSB: Two-locus association mapping in subquadratic time (PA, BS, KMB), pp. 726–734.
KDD-2011-GeLXC: A taxi business intelligence system (YG, CL, HX, JC), pp. 735–738.
KDD-2011-ChauKHF #graph #interactive #machine learning #named #scalability #visualisation: Apolo: interactive large graph sensemaking by combining machine learning and visualization (DHC, AK, JIH, CF), pp. 739–742.
KDD-2011-FanLLLPL #web: Article clipper: a system for web article extraction (JF, PL, SHL, SL, JP, JL), pp. 743–746.
KDD-2011-SinkovitsCSTRWB #analysis #data-driven #performance: Data intensive analysis on the gordon high performance data and compute system (RSS, PC, SS, MT, PR, NW, NB), pp. 747–748.
KDD-2011-PiskorskiA #framework #realtime: Frontex real-time news event extraction framework (JP, MA), pp. 749–752.
KDD-2011-JinWLYH #mining #named #network #power of #social #social media: LikeMiner: a system for mining the power of “like” in social media networks (XJ, CW, JL, XY, JH), pp. 753–756.
KDD-2011-GoethalsMV #framework #interactive #mining #named #visual notation: MIME: a framework for interactive visual pattern mining (BG, SM, JV), pp. 757–760.
KDD-2011-BatistaKMR #data mining #mining: SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining (GEAPAB, EJK, AMN, ER), pp. 761–764.
KDD-2011-LiL #behaviour #community #detection #framework #generative #modelling #network #simulation #social: Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling (CTL, SDL), pp. 765–768.
KDD-2011-TangWGW #network #social #topic: Topic-level social network search (JT, SW, BG, YW), pp. 769–772.
KDD-2011-RaiJK #video: Video analytics solution for tracking customer locations in retail shopping malls (HGNR, KJ, PRK), pp. 773–776.
KDD-2011-Reiley #effectiveness #quote: “Which half Is wasted?”: controlled experiments to measure online-advertising effectiveness (DHR), p. 777.
KDD-2011-Inchiosa #data mining #mining #scalability #using: Accelerating large-scale data mining using in-database analytics (MEI), p. 778.
KDD-2011-VijayaraghavanK #data mining #machine learning #mining #online: Applications of data mining and machine learning in online customer care (RV, PVK), p. 779.
KDD-2011-SteinbergM #modelling #optimisation #predict: Broad scale predictive modeling and marketing optimization in retail sales (DS, FFM), p. 780.
KDD-2011-Rejto #data mining #information management #mining #research: Knowledge discovery and data mining in pharmaceutical cancer research (PAR), p. 781.
KDD-2011-McCue #security: Operational security analytics: doing more with less (CM), p. 782.
KDD-2011-Hsu #realtime: Real-time risk control system for CNP (card not present) (TH), p. 783.
KDD-2011-Norton #analysis #power of: The power of analysis and data (DN), p. 784.
KDD-2011-Boire #case study #data mining #lessons learnt #mining: The practitioner’s viewpoint to data mining: key lessons learned in the trenches and case studies (RB), p. 785.
KDD-2011-Elder #mining: Thriving as a data miner in the real world (JFEI), p. 786.
KDD-2011-TorgoO #2d #predict: 2D-interval predictions for time series (LT, OO), pp. 787–794.
KDD-2011-AlqadahB #clustering #framework #game studies #network: A game theoretic framework for heterogenous information network clustering (FA, RB), pp. 795–804.
KDD-2011-CotterSK #approach #kernel: A GPU-tailored approach for training kernelized SVMs (AC, NS, JK), pp. 805–813.
KDD-2011-ZhouYLY #learning #multi #predict: A multi-task learning formulation for predicting disease progression (JZ, LY, JL, JY), pp. 814–822.
KDD-2011-SimonKL #classification #statistics: A simple statistical model and association rule filtering for classification (GJS, VK, PWL), pp. 823–831.
KDD-2011-HongDGT #multi #topic: A time-dependent topic model for multiple text streams (LH, BD, SG, KT), pp. 832–840.
KDD-2011-MooreYZRL #classification #learning #network: Active learning for node classification in assortative and disassortative networks (CM, XY, YZ, JBR, TL), pp. 841–849.
KDD-2011-MesterharmP #algorithm #learning #online #using: Active learning using on-line algorithms (CM, MJP), pp. 850–858.
KDD-2011-BhaduriMG #algorithm #detection: Algorithms for speeding up distance-based outlier detection (KB, BLM, CG), pp. 859–867.
KDD-2011-KremerKJSBHP #clustering #data type #effectiveness #evaluation #evolution: An effective evaluation measure for clustering on evolving data streams (HK, PK, TJ, TS, AB, GH, BP), pp. 868–876.
KDD-2011-ZhouBS #approach #graph #ranking: An iterated graph laplacian approach for ranking on manifolds (XZ, MB, NS), pp. 877–885.
KDD-2011-JiangFH #data type #graph #locality #network: Anomaly localization for network data streams with graph joint sparse PCA (RJ, HF, JH), pp. 886–894.
KDD-2011-ChittaJHJ #approximate #clustering #kernel #scalability: Approximate kernel k-means: solution to large scale kernel clustering (RC, RJ, TCH, AKJ), pp. 895–903.
KDD-2011-RashidiC #induction #learning #query: Ask me better questions: active learning queries based on rule induction (PR, DJC), pp. 904–912.
KDD-2011-KorenLMS #automation #email: Automatically tagging email by leveraging other users’ folders (YK, EL, YM, RS), pp. 913–921.
KDD-2011-JinLH #axiom #network #ranking #similarity: Axiomatic ranking of network role similarity (RJ, VEL, HH), pp. 922–930.
KDD-2011-HuangLYFCWR #effectiveness #modelling #network: Brain effective connectivity modeling for alzheimer’s disease by sparse gaussian bayesian network (SH, JL, JY, AF, KC, TW, ER), pp. 931–939.
KDD-2011-PereiraB #classification #functional #using: Classification of functional magnetic resonance imaging data using informative pattern features (FP, MB), pp. 940–946.
KDD-2011-LiuZW #clustering #constraints: Clustering with relative constraints (EYL, ZZ, WW), pp. 947–955.
KDD-2011-WangBB #analysis #component #matrix #multi: Common component analysis for multiple covariance matrices (HW, AB, DB), pp. 956–964.
KDD-2011-ToivonenZHH #graph: Compression of weighted graphs (HT, FZ, AH, AH), pp. 965–973.
KDD-2011-VydiswaranZR #framework #trust: Content-driven trust propagation framework (VGVV, CZ, DR), pp. 974–982.
KDD-2011-GeLXTC #cost analysis #recommendation: Cost-aware travel tour recommendation (YG, QL, HX, AT, JC), pp. 983–991.
KDD-2011-JinLA #graph #nondeterminism #reliability: Discovering highly reliable subgraphs in uncertain graphs (RJ, LL, CCA), pp. 992–1000.
KDD-2011-ShiFZY #evolution #graph: Discovering shakers from evolving entities via cascading graph inference (XS, WF, JZ, PSY), pp. 1001–1009.
KDD-2011-LiuZCYX #data type #interactive: Discovering spatio-temporal causal interactions in traffic data streams (WL, YZ, SC, JY, XX), pp. 1010–1018.
KDD-2011-PapadimitriouGKLR #social: Display advertising impact: search lift and social influence (PP, HGM, PK, RAL, DHR), pp. 1019–1027.
KDD-2011-TongHWKL #graph #optimisation #ranking #scalability: Diversified ranking on large graphs: an optimization viewpoint (HT, JH, ZW, RK, CYL), pp. 1028–1036.
KDD-2011-KatariaKRSS #ambiguity #modelling #topic: Entity disambiguation with hierarchical topic models (SK, KSK, RR, PS, SHS), pp. 1037–1045.
KDD-2011-ScellatoNM #network #predict #social: Exploiting place features in link prediction on location-based social networks (SS, AN, CM), pp. 1046–1054.
KDD-2011-AoyamaSSU #approximate #graph #performance #similarity: Fast approximate similarity search based on degree-reduced neighborhood graphs (KA, KS, HS, NU), pp. 1055–1063.
KDD-2011-HsiehD #coordination #matrix #performance: Fast coordinate descent methods with variable selection for non-negative matrix factorization (CJH, ISD), pp. 1064–1072.
KDD-2011-DasguptaKS #performance: Fast locality-sensitive hashing (AD, RK, TS), pp. 1073–1081.
KDD-2011-ChoML #network #social: Friendship and mobility: user movement in location-based social networks (EC, SAM, JL), pp. 1082–1090.
KDD-2011-KangTSLF #graph #named #scalability: GBASE: a scalable and general graph management system (UK, HT, JS, CYL, CF), pp. 1091–1099.
KDD-2011-WangPSGB #predict #social: Human mobility, social ties, and link prediction (DW, DP, CS, FG, ALB), pp. 1100–1108.
KDD-2011-DrorKMS #exclamation #recommendation: I want to answer; who has a question?: Yahoo! answers recommender system (GD, YK, YM, IS), pp. 1109–1117.
KDD-2011-Dhurandhar #predict #using: Improving predictions using aggregate information (AD), pp. 1118–1126.
KDD-2011-PlantB #category theory #clustering #named: INCONCO: interpretable clustering of numerical and categorical objects (CP, CB), pp. 1127–1135.
KDD-2011-GilpinD #algorithm #approach #clustering #flexibility #performance #satisfiability: Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach (SG, IND), pp. 1136–1144.
KDD-2011-LiuHLMPV #modelling #predict #quality #visual notation: Latent graphical models for quantifying and predicting patent quality (YL, PyH, RL, SM, CP, AV), pp. 1145–1153.
KDD-2011-MueenKY #classification #named: Logical-shapelets: an expressive primitive for time series classification (AM, EJK, NEY), pp. 1154–1162.
KDD-2011-DasB #optimisation: Meta optimization and its application to portfolio selection (PD, AB), pp. 1163–1171.
KDD-2011-TattiC #mining: Mining closed episodes with simultaneous events (NT, BC), pp. 1172–1180.
KDD-2011-LathiaC #mining: Mining mobility data to minimise travellers’ spending on public transport (NL, LC), pp. 1181–1189.
KDD-2011-TrasartiPNG #mining: Mining mobility user profiles for car pooling (RT, FP, MN, FG), pp. 1190–1198.
KDD-2011-QiYZZ #image #mining: Mining partially annotated images (ZQ, MY, Z(Z, ZZ), pp. 1199–1207.
KDD-2011-ZhangHLSL #approach #learning #multi #scalability: Multi-view transfer learning with a large margin approach (DZ, JH, YL, LS, RDL), pp. 1208–1216.
KDD-2011-NgLY #multi #named: MultiRank: co-ranking for objects and relations in multi-relational data (MKPN, XL, YY), pp. 1217–1225.
KDD-2011-AggarwalXY #data-driven #on the: On dynamic data-driven selection of sensor streams (CCA, YX, PSY), pp. 1226–1234.
KDD-2011-PedarsaniG #network #on the #privacy: On the privacy of anonymized networks (PP, MG), pp. 1235–1243.
KDD-2011-JiangBSZL #adaptation #concept #learning #ontology: Ontology enhancement and concept granularity learning: keeping yourself current and adaptive (SJ, LB, BS, YZ, WL), pp. 1244–1252.
KDD-2011-Cormode #learning #privacy: Personal privacy vs population privacy: learning to attack anonymization (GC), pp. 1253–1261.
KDD-2011-TaiYYC #network #privacy #social: Privacy-preserving social network publication against friendship attacks (CHT, PSY, DNY, MSC), pp. 1262–1270.
KDD-2011-DengHZYL #modelling #network #probability #topic: Probabilistic topic models with biased propagation on heterogeneous information networks (HD, JH, BZ, YY, CXL), pp. 1271–1279.
KDD-2011-JiangLLWY #sequence: Prominent streak discovery in sequence data (XJ, CL, PL, MW, YY), pp. 1280–1288.
KDD-2011-LeeOYK #privacy #semantics #using: Protecting location privacy using location semantics (BL, JO, HY, JK), pp. 1289–1297.
KDD-2011-JiHD #classification #network: Ranking-based classification of heterogeneous information networks (MJ, JH, MD), pp. 1298–1306.
KDD-2011-ChenBAD #algorithm #realtime: Real-time bidding algorithms for performance-based display ad allocation (YC, PB, BA, NRD), pp. 1307–1315.
KDD-2011-Gkoulalas-DivanisL: Revisiting sequential pattern hiding to enhance utility (AGD, GL), pp. 1316–1324.
KDD-2011-DalviKMR #nearest neighbour #using: Sampling hidden objects using nearest-neighbor oracles (NND, RK, AM, VR), pp. 1325–1333.
KDD-2011-KashyapK #scalability: Scalable kNN search on vertically stored time series (SK, PK), pp. 1334–1342.
KDD-2011-ZhangLS #learning: Serendipitous learning: learning beyond the predefined label space (DZ, YL, LS), pp. 1343–1351.
KDD-2011-MalbasaV #scalability: Spatially regularized logistic regression for disease mapping on large moving populations (VM, SV), pp. 1352–1360.
KDD-2011-KotaA #multi: Temporal multi-hierarchy smoothing for estimating rates of rare events (NK, DA), pp. 1361–1369.
KDD-2011-LiLLNTF #cyber-physical #named: ThermoCast: a cyber-physical forecasting model for datacenters (LL, CJML, JL, SN, AT, CF), pp. 1370–1378.
KDD-2011-RaissiP #bound #towards: Towards bounding sequential patterns (CR, JP), pp. 1379–1387.
KDD-2011-ZhangCWY #behaviour #comprehension #modelling #predict: User-click modeling for understanding and predicting search-behavior (YZ, WC, DW, QY), pp. 1388–1396.
KDD-2011-TanLTJZL #analysis #network #sentiment #social: User-level sentiment analysis incorporating social networks (CT, LL, JT, LJ, MZ, PL), pp. 1397–1405.
KDD-2011-SatpalBSRS #information management #logic #markov #network #using #web: Web information extraction using markov logic networks (SS, SB, SS, RR, PS), pp. 1406–1414.

Chid Apté, Joydeep Ghosh, Padhraic SmythProceedings of the 17th International Conference on Knowledge Discovery and Data MiningKDD, 2011.

Contents (177 items)

Chid Apté, Joydeep Ghosh, Padhraic Smyth
Proceedings of the 17th International Conference on Knowledge Discovery and Data Mining
KDD, 2011.