BibSLEIGH — Proceedings of the 21st International Conference on Knowledge Discovery and Data Mining

Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams
Proceedings of the 21st International Conference on Knowledge Discovery and Data Mining
KDD, 2015.

KER

@proceedings{KDD-2015,
	acmid         = "2783258",
	address       = "NSW, Australia",
	editor        = "Longbing Cao and Chengqi Zhang and Thorsten Joachims and Geoffrey I. Webb and Dragos D. Margineantu and Graham Williams",
	isbn          = "978-1-4503-3664-2",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 21st International Conference on Knowledge Discovery and Data Mining}",
	year          = 2015,
}

Contents (252 items)

KDD-2015-Kohavi #lessons learnt #online #testing: Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years (RK), p. 1.
KDD-2015-Koller #named #question #what: MOOCS: What Have We Learned? (DK), p. 3.
KDD-2015-Athey #evaluation #machine learning #policy: Machine Learning and Causal Inference for Policy Evaluation (SA), pp. 5–6.
KDD-2015-Durrant-Whyte #machine learning: Data, Knowledge and Discovery: Machine Learning meets Natural Science (HDW), p. 7.
KDD-2015-AhnKLRW #distributed #matrix #probability #scalability #using: Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.
KDD-2015-AlthoffDMADZ #generative #knowledge base #named #timeline: TimeMachine: Timeline Generation for Knowledge-Base Entities (TA, XLD, KM, SA, VD, WZ), pp. 19–28.
KDD-2015-AmsalegCFGHKN: Estimating Local Intrinsic Dimensionality (LA, OC, TF, SG, MEH, KiK, MN), pp. 29–38.
KDD-2015-AntoineJWKA #twitter: Portraying Collective Spatial Attention in Twitter (ÉA, AJ, SW, YK, TA), pp. 39–48.
KDD-2015-BegumUWK #clustering #novel: Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy (NB, LU, JW, EJK), pp. 49–58.
KDD-2015-BifetMRHP #big data #classification #data type #evaluation #online #performance: Efficient Online Evaluation of Big Data Stream Classifiers (AB, GDFM, JR, GH, BP), pp. 59–68.
KDD-2015-BarajasA #approach #health #modelling: Dynamically Modeling Patient’s Health State from Electronic Medical Records: A Time Series Approach (KLCB, RA), pp. 69–78.
KDD-2015-CaiTFJH #higher-order #mining #named #performance: Facets: Fast Comprehensive Mining of Coevolving High-order Time Series (YC, HT, WF, PJ, QH), pp. 79–88.
KDD-2015-CaoWYR #dataset #online #scalability: Online Outlier Exploration Over Large Datasets (LC, MW, DY, EAR), pp. 89–98.
KDD-2015-ChakrabortyBSPY #classification #framework #learning #named #novel: BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification (SC, VNB, ARS, SP, JY), pp. 99–108.
KDD-2015-0002PGM #network #on the: On the Formation of Circles in Co-authorship Networks (TC, SP, PG, AM), pp. 109–118.
KDD-2015-ChangHTQAH #architecture #network: Heterogeneous Network Embedding via Deep Architectures (SC, WH, JT, GJQ, CCA, TSH), pp. 119–128.
KDD-2015-ChenXZX: Differentially Private High-Dimensional Data Publication via Sampling-Based Inference (RC, QX, YZ, JX), pp. 129–138.
KDD-2015-ChierichettiEKL #algorithm #network #performance #social: Efficient Algorithms for Public-Private Social Networks (FC, AE, RK, SL, VSM), pp. 139–148.
KDD-2015-ChuHTLL #classification #linear #parametricity: Warm Start for Parameter Selection of Linear Classifiers (BYC, CHH, CHT, CYL, CJL), pp. 149–158.
KDD-2015-Cohen #statistics: Stream Sampling for Frequency Cap Statistics (EC), pp. 159–168.
KDD-2015-CortesMM #adaptation #algorithm: Adaptation Algorithm and Theory Based on Generalized Discrepancy (CC, MM, AMM), pp. 169–178.
KDD-2015-CuiCHC #random: Optimal Action Extraction for Random Forests and Boosted Trees (ZC, WC, YH, YC), pp. 179–188.
KDD-2015-DevooghtKM #matrix: Dynamic Matrix Factorization with Priors on Unknown Values (RD, NK, AM), pp. 189–198.
KDD-2015-DongZTCW #named #network #predict: CoupledLP: Link Prediction in Coupled Networks (YD, JZ, JT, NVC, BW), pp. 199–208.
KDD-2015-DuS #adaptation #feature model #learning: Unsupervised Feature Selection with Adaptive Structure Learning (LD, YDS), pp. 209–218.
KDD-2015-DuFASS #clustering #documentation #process: Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams (ND, MF, AA, AJS, LS), pp. 219–228.
KDD-2015-ElenbergSBD #distributed #framework #graph #scalability: Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs (ERE, KS, MB, AGD), pp. 229–238.
KDD-2015-FanEWAH #health #personalisation: Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data (KF, ME, AW, AA, KAH), pp. 239–248.
KDD-2015-FeldmanT #approximate #big data #constraints #matrix: More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data (DF, TT), pp. 249–258.
KDD-2015-FeldmanFMSV: Certifying and Removing Disparate Impact (MF, SAF, JM, CS, SV), pp. 259–268.
KDD-2015-CostaYTTF #mining #modelling #named #process #social #social media: RSC: Mining and Modeling Temporal Activity in Social Media (AFC, YY, AJMT, CTJ, CF), pp. 269–278.
KDD-2015-FisherCWR #clustering #framework: A Clustering-Based Framework to Control Block Sizes for Entity Resolution (JF, PC, QW, ER), pp. 279–288.
KDD-2015-FlaxmanWS: Who Supported Obama in 2012?: Ecological Inference through Distribution Regression (SRF, YXW, AJS), pp. 289–298.
KDD-2015-FuLPXGZZ #modelling #ranking: Real Estate Ranking via Mixed Land-use Latent Models (YF, GL, SP, HX, YG, HZ, CZ), pp. 299–308.
KDD-2015-FujiwaraNSIT #adaptation #performance: Adaptive Message Update for Fast Affinity Propagation (YF, MN, HS, YI, MT), pp. 309–318.
KDD-2015-GabelKS #distributed #modelling #monitoring: Monitoring Least Squares Models of Distributed Streams (MG, DK, AS), pp. 319–328.
KDD-2015-GalleT #documentation #n-gram: Reconstructing Textual Documents from n-grams (MG, MT), pp. 329–338.
KDD-2015-GaoYCH #integration #learning #multi #visual notation: Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning (HG, LY, WC, HH), pp. 339–348.
KDD-2015-GaoJOW: Selective Hashing: Closing the Gap between Radius Search and k-NN Search (JG, HVJ, BCO, SW), pp. 349–358.
KDD-2015-GleichM #algorithm #graph #learning #using: Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms (DFG, MWM), pp. 359–368.
KDD-2015-GongSRG #modelling: Instance Weighting for Patient-Specific Risk Stratification Models (JJG, TMS, JDR, JVG), pp. 369–378.
KDD-2015-GroverKH #hybrid: A Deep Hybrid Model for Weather Forecasting (AG, AK, EH), pp. 379–386.
KDD-2015-HallacLB #clustering #graph #network #optimisation #scalability: Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDD-2015-HanZ #learning #multi: Learning Tree Structure in Multi-Task Learning (LH, YZ), pp. 397–406.
KDD-2015-HanT #community #network #probability #social: Probabilistic Community and Role Model for Social Networks (YH, JT), pp. 407–416.
KDD-2015-HayashiMTK #detection #realtime #topic #twitter: Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering (KH, TM, MT, KiK), pp. 417–426.
KDD-2015-HouWGD #clustering #programming #rank: Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming (YH, JJW, DFG, ISD), pp. 427–436.
KDD-2015-HsiehLZ #big data #quality #recommendation: Inferring Air Quality for Station Location Recommendation Based on Urban Big Data (HPH, SDL, YZ), pp. 437–446.
KDD-2015-IitsukaM #optimisation #problem: Website Optimization Problem and Its Solutions (SI, YM), pp. 447–456.
KDD-2015-JiangZT #capacity #constraints #network #social: Reciprocity in Social Networks with Capacity Constraints (BJ, ZLZ, DT), pp. 457–466.
KDD-2015-JohanssonD #geometry #graph #learning #similarity #using: Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings (FDJ, DPD), pp. 467–476.
KDD-2015-JohnsonB #resource management: Structured Hedging for Resource Allocations with Leverage (NJ, AB), pp. 477–486.
KDD-2015-Kaban #bound #random: Improved Bounds on the Dot Product under Random Projection and Random Sign Projection (AK), pp. 487–496.
KDD-2015-KadkhodaieCSB #multi: Accelerated Alternating Direction Method of Multipliers (MK, KC, MS, AB), pp. 497–506.
KDD-2015-CheKLBL: Deep Computational Phenotyping (ZC, DCK, WL, MTB, YL), pp. 507–516.
KDD-2015-KalyanamMSVL #evolution #modelling #social #topic: Leveraging Social Context for Modeling Topic Evolution (JK, AM, DST, HV, GRGL), pp. 517–526.
KDD-2015-KarakasidisKV #privacy #scalability: Scalable Blocking for Privacy Preserving Record Linkage (AK, GK, VSV), pp. 527–536.
KDD-2015-Kawamae #realtime #recommendation: Real Time Recommendations from Connoisseurs (NK), pp. 537–546.
KDD-2015-KicKimanR #identification #social #social media #towards: Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media (EK, MR), pp. 547–556.
KDD-2015-Kifer #category theory #on the: On Estimating the Swapping Rate for Categorical Data (DK), pp. 557–566.
KDD-2015-KimCKRP #matrix #topic: Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization (HK, JC, JK, CKR, HP), pp. 567–576.
KDD-2015-KimYTM #framework #predict #sequence: A Decision Tree Framework for Spatiotemporal Sequence Prediction (TK, YY, SLT, IM), pp. 577–586.
KDD-2015-KimHY #mining #named #topic: TOPTRAC: Topical Trajectory Pattern Mining (YK, JH, CY), pp. 587–596.
KDD-2015-KotziasDFS #using: From Group to Individual Labels Using Deep Features (DK, MD, NdF, PS), pp. 597–606.
KDD-2015-KumarSS #named #wiki: VEWS: A Wikipedia Vandal Early Warning System (SK, FS, VSS), pp. 607–616.
KDD-2015-KuoWWCYD #graph #multi #segmentation: Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation (CTK, XW, PBW, OTC, JY, ID), pp. 617–626.
KDD-2015-LanH #complexity #learning #multi: Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning (CL, JH), pp. 627–634.
KDD-2015-LeeWK #consistency #constraints #difference #privacy: Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints (JL, YW, DK), pp. 635–644.
KDD-2015-LeiMMCS #online: Online Influence Maximization (SL, SM, LM, RC, PS), pp. 645–654.
KDD-2015-LiT: The Child is Father of the Man: Foresee the Success at the Early Stage (LL, HT), pp. 655–664.
KDD-2015-Li #consistency: 0-Bit Consistent Weighted Sampling (PL), pp. 665–674.
KDD-2015-LiLGSZFH #evolution #on the: On the Discovery of Evolving Truth (YL, QL, JG, LS, BZ, WF, JH), pp. 675–684.
KDD-2015-LimK #graph #named: MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams (YL, UK), pp. 685–694.
KDD-2015-LinLC #framework #multi #network #social: A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks (SCL, SDL, MSC), pp. 695–704.
KDD-2015-LiuWHX #framework #graph #health: Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework (CL, FW, JH, HX), pp. 705–714.
KDD-2015-LiuLWTF #clustering: Spectral Ensemble Clustering (HL, TL, JW, DT, YF), pp. 715–724.
KDD-2015-Llinares-LopezS #mining #mutation testing #performance #permutation #testing: Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing (FLL, MS, LP, KMB), pp. 725–734.
KDD-2015-LucierOS #distributed #network #scalability: Influence at Scale: Distributed Computation of Complex Contagion in Networks (BL, JO, YS), pp. 735–744.
KDD-2015-MaLLQGZSZJH #crowdsourcing #fine-grained #named: FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation (FM, YL, QL, MQ, JG, SZ, LS, BZ, HJ, JH), pp. 745–754.
KDD-2015-MahdianSV #algorithm: Algorithmic Cartography: Placing Points of Interest and Ads on Maps (MM, OS, SV), pp. 755–764.
KDD-2015-MaoWGS #graph #learning #reduction: Dimensionality Reduction Via Graph Structure Learning (QM, LW, SG, YS), pp. 765–774.
KDD-2015-MarchXTYB #approximate #kernel #robust: Robust Treecode Approximation for Kernel Machines (WBM, BX, ST, CDY, GB), pp. 775–784.
KDD-2015-McAuleyPL #network: Inferring Networks of Substitutable and Complementary Products (JJM, RP, JL), pp. 785–794.
KDD-2015-MinorDC #algorithm #data-driven #evaluation #predict #process: Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications (BM, JRD, DJC), pp. 805–814.
KDD-2015-MitzenmacherPPT #clique #detection #network #scalability: Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling (MM, JP, RP, CET, SCX), pp. 815–824.
KDD-2015-MottinBG #graph #query: Graph Query Reformulation with Diversity (DM, FB, FG), pp. 825–834.
KDD-2015-NiTFZ #clustering #flexibility #multi #robust: Flexible and Robust Multi-Network Clustering (JN, HT, WF, XZ), pp. 835–844.
KDD-2015-NikolaevDGUGS #composition #evaluation #online: Extreme States Distribution Decomposition Method for Search Engine Online Evaluation (KN, AD, EG, AU, GG, PS), pp. 845–854.
KDD-2015-NoriKYII #modelling #multi #predict: Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care (NN, HK, KY, HI, YI), pp. 855–864.
KDD-2015-OhHYJ #matrix #parallel #performance #robust: Fast and Robust Parallel SGD Matrix Factorization (JO, WSH, HY, XJ), pp. 865–874.
KDD-2015-OhsakaMK #evolution #network #performance #rank: Efficient PageRank Tracking in Evolving Networks (NO, TM, KiK), pp. 875–884.
KDD-2015-OkumuraST #analysis #classification #incremental #linear #problem: Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems (SO, YS, IT), pp. 885–894.
KDD-2015-OuCWW0 #component #similarity #transitive: Non-transitive Hashing with Latent Similarity Components (MO, PC, FW, JW, WZ), pp. 895–904.
KDD-2015-ChaoHZ #analysis #kernel: Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics (PC, QH, MZ), pp. 905–914.
KDD-2015-Papagiannopoulou #learning #multi: Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning (CP, GT, IT), pp. 915–924.
KDD-2015-PengKLC #approximate #clustering #rank #using: Subspace Clustering Using Log-determinant Rank Approximation (CP, ZK, HL, QC), pp. 925–934.
KDD-2015-QahtanAWZ #data type #detection #framework #multi: A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams (AAQ, BA, SW, XZ), pp. 935–944.
KDD-2015-QiATSA #predict: State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness (GJQ, CA, DST, DMS, PA), pp. 945–954.
KDD-2015-QianCMSL #named #recommendation: SCRAM: A Sharing Considered Route Assignment Mechanism for Fair Taxi Route Recommendations (SQ, JC, FLM, IS, ML), pp. 955–964.
KDD-2015-QinLCZ: Locally Densest Subgraph Discovery (LQ, RHL, LC, CZ), pp. 965–974.
KDD-2015-RaptiSTT #multi #network: Virus Propagation in Multiple Profile Networks (AR, SS, KT, GT), pp. 975–984.
KDD-2015-RayanaA #detection #metadata #network #overview: Collective Opinion Spam Detection: Bridging Review Networks and Metadata (SR, LA), pp. 985–994.
KDD-2015-RenEWTVH #clustering #effectiveness #named #recognition #type system: ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering (XR, AEK, CW, FT, CRV, JH), pp. 995–1004.
KDD-2015-RiondatoU #mining: Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages (MR, EU), pp. 1005–1014.
KDD-2015-RongCM #identification #modelling #social #why: Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events (YR, HC, ZM), pp. 1015–1024.
KDD-2015-RuchanskyCT #matrix #query: Matrix Completion with Queries (NR, MC, ET), pp. 1025–1034.
KDD-2015-SatoN #online #probability: Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation (IS, HN), pp. 1035–1044.
KDD-2015-ScheinPBW #multi: Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts (AS, JWP, DMB, HMW), pp. 1045–1054.
KDD-2015-ShahKZGF #graph #named #summary: TimeCrunch: Interpretable Dynamic Graph Summarization (NS, DK, TZ, BG, CF), pp. 1055–1064.
KDD-2015-ShahafHM #identification: Inside Jokes: Identifying Humorous Cartoon Captions (DS, EH, RM), pp. 1065–1074.
KDD-2015-ShaoHYZ #community #detection #distance: Community Detection based on Distance Dynamics (JS, ZH, QY, TZ), pp. 1075–1084.
KDD-2015-Shokoohi-Yekta0: Discovery of Meaningful Rules in Time Series (MSY, YC, BJLC, BH, JZ, EJK), pp. 1085–1094.
KDD-2015-Shun #algorithm #estimation #evaluation #graph #parallel: An Evaluation of Parallel Eccentricity Estimation Algorithms on Undirected Real-World Graphs (JS), pp. 1095–1104.
KDD-2015-SongMT #network #performance #recommendation: Efficient Latent Link Recommendation in Signed Networks (DS, DAM, DT), pp. 1105–1114.
KDD-2015-SongLZ #clustering: Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data (SS, CL, XZ), pp. 1115–1124.
KDD-2015-StergiouT #set #web: Set Cover at Web Scale (SS, KT), pp. 1125–1133.
KDD-2015-SuYSSKVY #feedback #graph: Exploiting Relevance Feedback in Knowledge Graph Search (YS, SY, HS, MS, SK, MV, XY), pp. 1135–1144.
KDD-2015-SunWH #approach #named #predict #risk management: LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management (ZS, FW, JH), pp. 1145–1154.
KDD-2015-TanSZ0 #learning #transitive: Transitive Transfer Learning (BT, YS, EZ, QY), pp. 1155–1164.
KDD-2015-TangQM #named #network #predict #scalability: PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks (JT, MQ, QM), pp. 1165–1174.
KDD-2015-TengTYC #constraints #effectiveness: An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint (YWT, CHT, PSY, MSC), pp. 1175–1184.
KDD-2015-TranHXFB #coordination #probability #scalability: Scaling Up Stochastic Dual Coordinate Ascent (KT, SH, LX, TF, MB), pp. 1185–1194.
KDD-2015-VanchinathanMRK: Discovering Valuable items from Massive Data (HPV, AM, CAR, DK, AK), pp. 1195–1204.
KDD-2015-VeeriahDQ #architecture #learning #predict: Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction (VV, RD, GJQ), pp. 1205–1214.
KDD-2015-WangSERZH #clustering #documentation #network: Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
KDD-2015-WangLSH #approach #composition #interactive #recursion #topic #towards: Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach (CW, XL, YS, JH), pp. 1225–1234.
KDD-2015-WangWY #collaboration #learning #recommendation: Collaborative Deep Learning for Recommender Systems (HW, NW, DYY), pp. 1235–1244.
KDD-2015-WangFM #modelling: Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models (JW, RF, YM), pp. 1245–1254.
KDD-2015-WangYCSSZ #generative #named #recommendation: Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation (WW, HY, LC, YS, SWS, XZ), pp. 1255–1264.
KDD-2015-WangCGDKCMS #data analysis #health #named: Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (YW, RC, JG, JCD, ANK, YC, BAM, JS), pp. 1265–1274.
KDD-2015-WangYLXXCR #predict #using: Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data (YW, NJY, DL, LX, XX, EC, YR), pp. 1275–1284.
KDD-2015-WangCMBYR #predict: Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction (ZW, PC, SRM, JSB, JY, NR), pp. 1285–1294.
KDD-2015-WickerKDSBKW0 #data mining #mining #smell: Cinema Data Mining: The Smell of Fear (JW, NK, BD, CS, EB, TK, JW, SK), pp. 1295–1304.
KDD-2015-WuYC #predict #realtime: Predicting Winning Price in Real Time Bidding with Censored Data (WCHW, MYY, MSC), pp. 1305–1314.
KDD-2015-XieDX #documentation #modelling #strict: Diversifying Restricted Boltzmann Machine for Document Modeling (PX, YD, EPX), pp. 1315–1324.
KDD-2015-XieBDG #performance #personalisation #rank: Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier (WX, DB, AJD, JG), pp. 1325–1334.
KDD-2015-XingHDKWLZXKY #big data #distributed #framework #machine learning #named #platform: Petuum: A New Platform for Distributed Machine Learning on Big Data (EPX, QH, WD, JKK, JW, SL, XZ, PX, AK, YY), pp. 1335–1344.
KDD-2015-XuSB #learning #predict: Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction (TX, JS, JB), pp. 1345–1354.
KDD-2015-YanRHC #distributed #learning #modelling #optimisation #performance #scalability: Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems (FY, OR, YH, TMC), pp. 1355–1364.
KDD-2015-YanardagV #graph #kernel: Deep Graph Kernels (PY, SVNV), pp. 1365–1374.
KDD-2015-YangH #learning #multi: Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning (PY, JH), pp. 1375–1384.
KDD-2015-YangSJWDY #learning #visual notation: Structural Graphical Lasso for Learning Mouse Brain Connectivity (SY, QS, SJ, PW, ID, JY), pp. 1385–1394.
KDD-2015-YangSTML: Entity Matching across Heterogeneous Sources (YY, YS, JT, BM, JZL), pp. 1395–1404.
KDD-2015-Yi0YLW #algorithm #clustering #constraints #performance: An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints (JY, LZ, TY, WL, JW), pp. 1405–1414.
KDD-2015-ZhangZMH #assembly #co-evolution #named #performance: Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data (CZ, YZ, XM, JH), pp. 1415–1424.
KDD-2015-ZhangKX #contest #image #modelling #monitoring #online #topic: Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data (HZ, GK, EPX), pp. 1425–1434.
KDD-2015-ZhangYL: Organizational Chart Inference (JZ, PSY, YL), pp. 1435–1444.
KDD-2015-ZhangTMTJL #named #network #performance #scalability #similarity: Panther: Fast Top-k Similarity Search on Large Networks (JZ, JT, CM, HT, YJ, JL), pp. 1445–1454.
KDD-2015-ZhangW #recommendation: A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation (WZ, JW), pp. 1455–1464.
KDD-2015-ZhangW15a #mining #statistics: Statistical Arbitrage Mining for Display Advertising (WZ, JW), pp. 1465–1474.
KDD-2015-ZhangLZSKYJ #analysis #biology #image #learning #modelling #multi: Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis (WZ, RL, TZ, QS, SK, JY, SJ), pp. 1475–1484.
KDD-2015-ZhangTYPY #consistency #named #network #social: COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency (YZ, JT, ZY, JP, PSY), pp. 1485–1494.
KDD-2015-ZhaoJCJ #estimation #parametricity #performance #quality: SAME but Different: Fast and High Quality Gibbs Parameter Estimation (HZ, BJ, JFC, BJ), pp. 1495–1502.
KDD-2015-ZhaoSYCLR #learning #multi: Multi-Task Learning for Spatio-Temporal Event Forecasting (LZ, QS, JY, FC, CTL, NR), pp. 1503–1512.
KDD-2015-ZhaoEHRL #named #predict #process #self #twitter: SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity (QZ, MAE, HYH, AR, JL), pp. 1513–1522.
KDD-2015-ZhengYX #composition #linear #modelling #topic #using: Linear Time Samplers for Supervised Topic Models using Compositional Proposals (XZ, YY, EPX), pp. 1523–1532.
KDD-2015-ZhengP #fault #kernel #scalability: L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data (YZ, JMP), pp. 1533–1542.
KDD-2015-ZhiZTGYJH #modelling: Modeling Truth Existence in Truth Discovery (SZ, BZ, WT, JG, DY, HJ, JH), pp. 1543–1552.
KDD-2015-ZhouALS #algebra #linear: Cuckoo Linear Algebra (LZ, DGA, ML, AJS), pp. 1553–1562.
KDD-2015-ZhouLB #analysis #clustering #graph: Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis (YZ, LL, DB), pp. 1563–1572.
KDD-2015-ZhuPCZZ #modelling #network #social: Modeling User Mobility for Location Promotion in Location-based Social Networks (WYZ, WCP, LJC, KZ, XZ), pp. 1573–1582.
KDD-2015-ZhuYH #clustering #optimisation #predict: Co-Clustering based Dual Prediction for Cargo Pricing Optimization (YZ, HY, JH), pp. 1583–1592.
KDD-2015-ZhuangPRH #crowdsourcing: Debiasing Crowdsourced Batches (HZ, AGP, DR, JH), pp. 1593–1602.
KDD-2015-ZoumpatianosLPG #query: Query Workloads for Data Series Indexes (KZ, YL, TP, JG), pp. 1603–1612.
KDD-2015-Agarwal #machine learning #scalability #statistics #web: Scaling Machine Learning and Statistics for Web Applications (DA), p. 1621.
KDD-2015-Awadallah #data transformation #future of: Hadoop’s Impact on the Future of Data Management (AA), p. 1623.
KDD-2015-Dhar #question #trust: Should You Trust Your Money to a Robot? (VD), p. 1625.
KDD-2015-HasanW: Data Science at Visa (WH, MW), p. 1627.
KDD-2015-John #big data #case study #how: How Artificial Intelligence and Big Data Created Rocket Fuel: A Case Study (GJ), p. 1629.
KDD-2015-Kamath #data-driven #optimisation: Optimizing Marketing Impact through Data Driven Decisioning (AK), p. 1631.
KDD-2015-Ojjeh #open source #realtime #using: Powering Real-time Decision Engines in Finance and Healthcare using Open Source Software (BO), p. 1633.
KDD-2015-Sirosh: Clouded Intelligence (JS), p. 1635.
KDD-2015-White #enterprise: Data Science from the Lab to the Field to the Enterprise (CW), p. 1637.
KDD-2015-Yang #industrial #internet #modelling: User Modeling in Telecommunications and Internet Industry (QY0), p. 1639.
KDD-2015-AdamopoulosT #effectiveness #social #social media: The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events (PA, VT), pp. 1641–1650.
KDD-2015-AgarwalCHHLMSTY #personalisation: Personalizing LinkedIn Feed (DA, BCC, QH, ZH, GL, YM, PS, HPT, JY, LZ), pp. 1651–1660.
KDD-2015-AgrawalGP #network #question #social #web: Whither Social Networks for Web Search? (RA, BG, EEP), pp. 1661–1670.
KDD-2015-ArlorioCLLP #assessment #authentication #data mining #mining: Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont (MA, JDC, GL, ML, LP), pp. 1671–1680.
KDD-2015-BabaKNKGIAKIHKS #low cost #predict: Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries (YB, HK, YN, EK, PPG, RIM, AA, MK, SI, TH, MK, SS, KK, KT, MS, MB, NU, MK, NN), pp. 1681–1690.
KDD-2015-RoyTZLHNM #classification: Dynamic Hierarchical Classification for Patient Risk-of-Readmission (SBR, AT, KZ, RL, DH, SN, AM), pp. 1691–1700.
KDD-2015-BerralPCCRG #automation #framework #information management #named: ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments (JLB, NP, DC, AC, RR, DG), pp. 1701–1710.
KDD-2015-BotezatuBGVW #clustering #multi: Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching (MMB, JB, IG, HV, DW), pp. 1711–1720.
KDD-2015-CaruanaLGKSE #modelling #predict: Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission (RC, YL, JG, PK, MS, NE), pp. 1721–1730.
KDD-2015-DentonWPBF #hashtag #image #predict: User Conditional Hashtag Prediction for Images (ED, JW, MP, LDB, RF), pp. 1731–1740.
KDD-2015-DhurandharGRME #big data #risk management: Big Data System for Analyzing Risky Procurement Entities (AD, BG, RKR, GM, ME), pp. 1741–1750.
KDD-2015-DuncanE #modelling #probability: Probabilistic Modeling of a Sales Funnel to Prioritize Leads (BAD, CPE), pp. 1751–1758.
KDD-2015-EmbarBPV #analysis #online #social #topic: Online Topic-based Social Influence Analysis for the Wimbledon Championships (VRE, IB, VP, RV), pp. 1759–1768.
KDD-2015-FakhraeiFSG #detection #evolution #multi #network #social: Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
KDD-2015-FeldmanNPR #mining #online #predict: Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions (RF, ON, AP, BR), pp. 1779–1788.
KDD-2015-FrenoSJA #modelling #ranking #recommendation: One-Pass Ranking Models for Low-Latency Product Recommendations (AF, MS, RJ, CA), pp. 1789–1798.
KDD-2015-GogaLSTG #network #on the #online #reliability #scalability #social: On the Reliability of Profile Matching Across Large Online Social Networks (OG, PL, RS, RT, KPG), pp. 1799–1808.
KDD-2015-GrbovicRDBSBS #e-commerce #recommendation #scalability: E-commerce in Your Inbox: Product Recommendations at Scale (MG, VR, ND, NB, JS, VB, DS), pp. 1809–1818.
KDD-2015-GrbovicRDBN #gender: Gender and Interest Targeting for Sponsored Post Advertising at Tumblr (MG, VR, ND, NB, AN), pp. 1819–1828.
KDD-2015-GreenCCMPM #mining: Mining Administrative Data to Spur Urban Revitalization (BG, AC, MC, RM, TP, AM), pp. 1829–1838.
KDD-2015-HillMHTPT #online: Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising (DNH, RM, AEH, VT, FJP, KT), pp. 1839–1847.
KDD-2015-HohnholdOT: Focusing on the Long-term: It’s Good for Users and Business (HH, DO, DT), pp. 1849–1858.
KDD-2015-HolleczekAYJAGL #agile #metric #recommendation: Traffic Measurement and Route Recommendation System for Mass Rapid Transit (MRT) (TH, DTA, SY, YJ, SA, HLG, SL, ASN), pp. 1859–1868.
KDD-2015-IkonomovskaJD #predict #realtime #using: Real-Time Bid Prediction using Thompson Sampling-Based Expert Selection (EI, SJ, AD), pp. 1869–1878.
KDD-2015-JiangZZY #e-commerce #predict #recommendation: Life-stage Prediction for Product Recommendation in E-commerce (PJ, YZ, YZ, QY), pp. 1879–1888.
KDD-2015-JingLKZXDT #visual notation: Visual Search at Pinterest (YJ, DL, DK, AZ, JX, JD, ST), pp. 1889–1898.
KDD-2015-KimS #scalability: Discovering Collective Narratives of Theme Parks from Large Collections of Visitors’ Photo Streams (GK, LS), pp. 1899–1908.
KDD-2015-LakkarajuASMBGA #framework #identification #machine learning #student: A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes (HL, EA, CS, DM, NB, RG, KLA), pp. 1909–1918.
KDD-2015-LakretzCFR #modelling #probability #visual notation: Probabilistic Graphical Models of Dyslexia (YL, GC, NF, MRZ), pp. 1919–1928.
KDD-2015-LalmasLSST #experience: Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users (ML, JL, GS, FS, GT), pp. 1929–1938.
KDD-2015-LaptevAF #automation #detection #framework #scalability: Generic and Scalable Framework for Automated Time-series Anomaly Detection (NL, SA, IF), pp. 1939–1947.
KDD-2015-LeeFZL #knowledge base: Leveraging Knowledge Bases for Contextual Entity Exploration (JL, AF, BZ, YL), pp. 1949–1958.
KDD-2015-LiLMWP #predict #timeline #twitter: Click-through Prediction for Advertising in Twitter Timeline (CL, YL, QM, DW, SP), pp. 1959–1968.
KDD-2015-LiCS #elicitation #predict: Predicting Voice Elicited Emotions (YL, JDC, LJS), pp. 1969–1978.
KDD-2015-MayaMMAY #clustering #using: Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering (SM, KM, HM, RA, KY), pp. 1979–1988.
KDD-2015-MiaoCTZYB #distributed #personalisation: Distributed Personalization (XM, CTC, LT, YZ, JY, AB), pp. 1989–1998.
KDD-2015-MitraKBASMSL #correlation: Voltage Correlations in Smart Meter Data (RM, RK, SB, VA, BS, RM, HS, GL), pp. 1999–2008.
KDD-2015-MomtazpourZRSR #cyber-physical #invariant #using: Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression (MM, JZ, SR, RKS, NR), pp. 2009–2018.
KDD-2015-NagarajanWBNBHT #analysis #predict: Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature (MN, ADW, BJB, IBN, SB, PJH, METD, SB, AKA, JJL, SR, CMB, CRP, LK, AML, AL, HZ, SB, GW, YC, LAD, WSS, OL), pp. 2019–2028.
KDD-2015-NairRKBSKHD #detection #learning #monitoring: Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues (VN, AR, SK, VB, SS, SSK, SH, SD), pp. 2029–2038.
KDD-2015-PotashBLMRWRJMG #health #modelling #predict: Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning (EP, JB, AL, SM, AR, JW, ER, EJ, RM, RG), pp. 2039–2047.
KDD-2015-Pratt #machine learning #predict #protocol #proving: Proof Protocol for a Machine Learning Technique Making Longitudinal Predictions in Dynamic Contexts (KBP), pp. 2049–2058.
KDD-2015-Schleier-Smith #agile #architecture #machine learning #realtime: An Architecture for Agile Machine Learning in Real-Time Applications (JSS), pp. 2059–2068.
KDD-2015-SethiYRVR #classification #machine learning #scalability #using: Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery (MS, YY, AR, RRV, SR), pp. 2069–2078.
KDD-2015-ShaabaniASB #identification: Early Identification of Violent Criminal Gang Members (ES, AA, PS, JB), pp. 2079–2088.
KDD-2015-ShashidharPA #machine learning: Spoken English Grading: Machine Learning with Crowd Intelligence (VS, NP, VA), pp. 2089–2097.
KDD-2015-ShenGD #effectiveness #online: Effective Audience Extension in Online Advertising (JS, SCG, AD), pp. 2099–2108.
KDD-2015-SmithCS #web: Going In-Depth: Finding Longform on the Web (VS, MC, IS), pp. 2109–2118.
KDD-2015-SomanchiALEG #predict #using: Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records (SS, SA, AL, EE, RG), pp. 2119–2126.
KDD-2015-SpasojevicLRB #network #social: When-To-Post on Social Networks (NS, ZL, AR, PB), pp. 2127–2136.
KDD-2015-StantonTJVCS #data-driven #mining: Mining for Causal Relationships: A Data-Driven Study of the Islamic State (AS, AT, AJ, PV, AC, PS), pp. 2137–2146.
KDD-2015-SunAYMMBY #classification #learning: Transfer Learning for Bilingual Content Classification (QS, MSA, BY, CM, VM, AB, JY), pp. 2147–2156.
KDD-2015-TsengYHKC #detection #framework #named: FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection (VST, JCY, CWH, YK, KTC), pp. 2157–2166.
KDD-2015-UlanovaYCJKZ #performance #physics #profiling: Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems (LU, TY, HC, GJ, EJK, KZ), pp. 2167–2176.
KDD-2015-VattikondaKZDGS: Interpreting Advertiser Intent in Sponsored Search (BCV, SK, HZ, VD, SG, ACS), pp. 2177–2185.
KDD-2015-Verroios0JG #clustering #modelling: Client Clustering for Hiring Modeling in Work Marketplaces (VV, PP, RJ, HGM), pp. 2187–2196.
KDD-2015-WangZHSY #topic: Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications (QW, HZ, WH, ZS, YY), pp. 2197–2206.
KDD-2015-WeiLMCRS #predict #using: Predicting Serves in Tennis using Style Priors (XW, PL, SM, PC, MR, SS), pp. 2207–2215.
KDD-2015-XuLLQL #effectiveness #online #optimisation: Smart Pacing for Effective Online Ad Campaign Optimization (JX, KcL, WL, HQ, QL), pp. 2217–2226.
KDD-2015-XuCFSB #challenge #framework #network #scalability #social #testing: From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks (YX, NC, AF, OS, AB), pp. 2227–2236.
KDD-2015-YuW0PSIW #bound #markov #multi: Tornado Forecasting with Multiple Markov Boundaries (KY, DW, WD, JP, DLS, SI, XW), pp. 2237–2246.
KDD-2015-YuanBM #process #re-engineering #using: Gas Concentration Reconstruction for Coal-Fired Boilers Using Gaussian Process (CY, MB, BM), pp. 2247–2256.
KDD-2015-ZhangAYJS #email #information management: Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails (WZ, AA, JY, VJ, AJS), pp. 2257–2266.
KDD-2015-ZhengYLLSCL #big data #fine-grained #quality: Forecasting Fine-Grained Air Quality Based on Big Data (YZ, XY, ML, RL, ZS, EC, TL), pp. 2267–2276.
KDD-2015-ZhongLSR #recommendation #scalability: Building Discriminative User Profiles for Large-scale Content Recommendation (EZ, NL, YS, SR), pp. 2277–2286.
KDD-2015-ZhongJYYZL #recommendation: Stock Constrained Recommendation in Tmall (WZ, RJ, CY, XY, QZ, QL), pp. 2287–2296.
KDD-2015-ZhouM #approach #kernel #predict: Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach (ZZ, DSM), pp. 2297–2303.
KDD-2015-BerkovskyF #personalisation #recommendation #web: Web Personalization and Recommender Systems (SB, JF), pp. 2307–2308.
KDD-2015-BeutelAF #behaviour #detection #graph #modelling #predict: Graph-Based User Behavior Modeling: From Prediction to Fraud Detection (AB, LA, CF), pp. 2309–2310.
KDD-2015-FuA #data-driven: Data-Driven Product Innovation (XF, HA), pp. 2311–2312.
KDD-2015-GionisT #tutorial: Dense Subgraph Discovery: KDD 2015 tutorial (AG, CET), pp. 2313–2314.
KDD-2015-Gomez-Rodriguez #machine learning #modelling #network #probability #problem #research #social: Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods (MGR, LS), pp. 2315–2316.
KDD-2015-LiuC #challenge #detection #social #social media: Social Media Anomaly Detection: Challenges and Solutions (YL, SC), pp. 2317–2318.
KDD-2015-RenEWH #approach #automation #corpus #mining #network #recognition #type system: Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach (XR, AEK, CW, JH), pp. 2319–2320.
KDD-2015-RiondatoU15a #algorithm #learning #statistics: VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms (MR, EU), pp. 2321–2322.
KDD-2015-ShanahanD #distributed #scalability #using: Large Scale Distributed Data Science using Apache Spark (JGS, LD), pp. 2323–2324.
KDD-2015-SpiliopoulouRR #mining #tutorial: Medical Mining: KDD 2015 Tutorial (MS, PPR, EMR), p. 2325.
KDD-2015-YangLJ #big data #data analysis #optimisation: Big Data Analytics: Optimization and Randomization (TY, QL, RJ), p. 2327.

Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham WilliamsProceedings of the 21st International Conference on Knowledge Discovery and Data MiningKDD, 2015.

Contents (252 items)

Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams
Proceedings of the 21st International Conference on Knowledge Discovery and Data Mining
KDD, 2015.