Table of Contents

• Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining toolsDavid J. Hand. 1-2 [doi]
• Mining web logs: applications and challengesRavi Kumar. 3-4 [doi]
• Randomization methods in data miningHeikki Mannila. 5-6 [doi]
• Data mining at NASA: from theory to applicationsAshok N. Srivastava. 7-8 [doi]
• Network science: an introduction to recent statistical approachesStanley Wasserman. 9-10 [doi]
• Open standards and cloud computing: KDD-2009 panel reportMichael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcade, Rick Pechter, Mike Hoskins, Wayne Thompson, Rich Holada. 11-18 [doi]
• Regression-based latent factor modelsDeepak Agarwal, Bee-Chung Chen. 19-28 [doi]
• Frequent pattern mining with uncertain dataCharu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang. 29-38 [doi]
• Structured correspondence topic models for mining captioned figures in biological literatureAmr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy. 39-48 [doi]
• Name-ethnicity classification from open sourcesAnurag Ambekar, Charles Ward, Jahangir Mohammed, Swapna Male, Steven Skiena. 49-58 [doi]
• Detection of unique temporal segments by information theoretic meta-clusteringShin Ando, Einoshin Suzuki. 59-68 [doi]
• Collusion-resistant anonymous data collection methodMafruz Zaman Ashrafi, See-Kiong Ng. 69-78 [doi]
• A viewpoint-based approach for interaction graph analysisSitaram Asur, Srinivasan Parthasarathy. 79-88 [doi]
• Optimizing web traffic via the media scheduling problemLars Backstrom, Jon M. Kleinberg, Ravi Kumar. 89-98 [doi]
• Improving clustering stability with combinatorial MRFsRon Bekkerman, Martin Scholz, Krishnamurthy Viswanathan. 99-108 [doi]
• Temporal mining for interactive workflow data analysisMichele Berlingerio, Fabio Pinelli, Mirco Nanni, Fosca Giannotti. 109-118 [doi]
• Probabilistic frequent itemset mining in uncertain databasesThomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Florian Verhein, Andreas Züfle. 119-128 [doi]
• The offset tree for learning with partial labelsAlina Beygelzimer, John Langford. 129-138 [doi]
• New ensemble methods for evolving data streamsAlbert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà. 139-148 [doi]
• CoCo: coding cost for parameter-free outlier detectionChristian Böhm, Katrin Haegler, Nikola S. Müller, Claudia Plant. 149-158 [doi]
• Efficient anomaly monitoring over moving object trajectory streamsYingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei Liu. 159-168 [doi]
• Connections between the lines: augmenting social networks with textJonathan Chang, Jordan L. Boyd-Graber, David M. Blei. 169-178 [doi]
• Extracting discriminative concepts for domain adaptation in text miningBo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong. 179-188 [doi]
• Constrained optimization for validation-guided conditional random field learningMinmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney. 189-198 [doi]
• Efficient influence maximization in social networksWei Chen, Yajun Wang, Siyu Yang. 199-208 [doi]
• Large-scale behavioral targetingYe Chen, Dmitry Pavlov, John F. Canny. 209-218 [doi]
• On compressing social networksFlavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Michael Mitzenmacher, Alessandro Panconesi, Prabhakar Raghavan. 219-228 [doi]
• Regret-based online ranking for a growing digital libraryErick Delage. 229-238 [doi]
• A generalized Co-HITS algorithm and its application to bipartite graphsHongbo Deng, Michael R. Lyu, Irwin King. 239-248 [doi]
• Mining for the most certain predictions from dyadic dataMeghana Deodhar, Joydeep Ghosh. 249-258 [doi]
• Efficiently learning the accuracy of labeling sources for selective samplingPinar Donmez, Jaime G. Carbonell, Jeff Schneider. 259-268 [doi]
• Large human communication networks: patterns and a utility-driven generatorNan Du, Christos Faloutsos, Bai Wang, Leman Akoglu. 269-278 [doi]
• Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technologyMurat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa. 279-288 [doi]
• Turning down the noise in the blogosphereKhalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin. 289-298 [doi]
• Feature shaping for linear SVM classifiersGeorge Forman, Martin Scholz, Shyamsundar Rajaram. 299-308 [doi]
• A multi-relational approach to spatial classificationRichard Frank, Martin Ester, Arno Knobbe. 309-318 [doi]
• Scalable pseudo-likelihood estimation in hybrid random fieldsAntonino Freno, Edmondo Trentin, Marco Gori. 319-328 [doi]
• Issues in evaluation of stream learning algorithmsJoão Gama, Raquel Sebastião, Pedro Pereira Rodrigues. 329-338 [doi]
• Heterogeneous source consensus learning via decision propagation and negotiationJing Gao, Wei Fan, Yizhou Sun, Jiawei Han. 339-348 [doi]
• Multi-focal learning and its application to customer service supportYong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo, Xiaofeng Gao, Weili Wu. 349-358 [doi]
• Co-clustering on manifoldsQuanquan Gu, Jie Zhou. 359-368 [doi]
• Analyzing patterns of user content generation in online social networksLei Guo, Enhua Tan, Songqing Chen, Xiaodong Zhang, Yihong Eric Zhao. 369-378 [doi]
• Tell me something I don t know: randomization strategies for iterative data miningSami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila. 379-388 [doi]
• Exploiting Wikipedia as external knowledge for document clusteringXiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, Xiaohua Zhou. 389-396 [doi]
• ::::TrustWalker::::: a random walk model for combining trust-based and item-based recommendationMohsen Jamali, Martin Ester. 397-406 [doi]
• Drosophila gene expression pattern annotation using sparse features and term-term interactionsShuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye. 407-416 [doi]
• Cartesian contour: a concise representation for a collection of frequent setsRuoming Jin, Yang Xiang, Lin Liu. 417-426 [doi]
• Genre-based decomposition of email class noiseAleksander Kolcz, Gordon V. Cormack. 427-436 [doi]
• Characteristic relational patternsArne Koopman, Arno Siebes. 437-446 [doi]
• Collaborative filtering with temporal dynamicsYehuda Koren. 447-456 [doi]
• Collective annotation of Wikipedia entities in web textSayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti. 457-466 [doi]
• Finding a team of experts in social networksTheodoros Lappas, Kun Liu, Evimaria Terzi. 467-476 [doi]
• On burstiness-aware search for document sequencesTheodoros Lappas, Benjamin Arai, Manolis Platakis, Dimitrios Kotsakos, Dimitrios Gunopulos. 477-486 [doi]
• Improving data mining utility with projective samplingMark Last. 487-496 [doi]
• Meme-tracking and the dynamics of the news cycleJure Leskovec, Lars Backstrom, Jon M. Kleinberg. 497-506 [doi]
• DynaMMo: mining and summarization of coevolving sequences with missing valuesLei Li, James McCann, Nancy S. Pollard, Christos Faloutsos. 507-516 [doi]
• On the tradeoff between privacy and utility in data publishingTiancheng Li, Ninghui Li. 517-526 [doi]
• MetaFac: community discovery via relational hypergraph factorizationYu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher. 527-536 [doi]
• BBM: bayesian browsing model from petabyte-scale dataChao Liu, Fan Guo, Christos Faloutsos. 537-546 [doi]
• Large-scale sparse logistic regressionJun Liu, Jianhui Chen, Jieping Ye. 547-556 [doi]
• Classification of software behaviors for failure detection: a discriminative pattern mining approachDavid Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, Chengnian Sun. 557-566 [doi]
• Consensus group stable feature selectionSteven Loscalzo, Lei Yu, Chris H. Q. Ding. 567-576 [doi]
• Grouped graphical Granger modeling methods for temporal causal modelingAurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset. 577-586 [doi]
• Spatial-temporal causal modeling for climate change attributionAurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe. 587-596 [doi]
• Using graph-based metrics with empirical risk minimization to speed up active learning on networked dataSofus A. Macskassy. 597-606 [doi]
• Characterizing individual communication patternsR. Dean Malmgren, Jake M. Hofman, Luis A. N. Amaral, Duncan J. Watts. 607-616 [doi]
• Large-scale graph mining using backbone refinement classesAndreas Maunz, Christoph Helma, Stefan Kramer. 617-626 [doi]
• Differentially private recommender systems: building privacy into the netFrank McSherry, Ilya Mironov. 627-636 [doi]
• WhereNext: a location predictor on trajectory pattern miningAnna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti. 637-646 [doi]
• Correlated itemset mining in ROC space: a constraint programming approachSiegfried Nijssen, Tias Guns, Luc De Raedt. 647-656 [doi]
• TANGENT: a novel, Surprise me , recommendation algorithmKensuke Onuma, Hanghang Tong, Christos Faloutsos. 657-666 [doi]
• Mind the gaps: weighting the unknown in large-scale one-class collaborative filteringRong Pan, Martin Scholz. 667-676 [doi]
• An association analysis approach to biclusteringGaurav Pandey, Gowtham Atluri, Michael Steinbach, Chad L. Myers, Vipin Kumar. 677-686 [doi]
• CP-summary: a concise representation for browsing frequent itemsetsArdian Kristanto Poernomo, Vivekanand Gopalkrishnan. 687-696 [doi]
• Towards efficient mining of proportional fault-tolerant frequent itemsetsArdian Kristanto Poernomo, Vivekanand Gopalkrishnan. 697-706 [doi]
• Audience selection for on-line brand advertising: privacy-friendly social network targetingFoster Provost, Brian Dalessandro, Rod Hook, Xiaohan Zhang, Alan Murray. 707-716 [doi]
• A principled and flexible framework for finding alternative clusteringsZijie Qi, Ian Davidson. 717-726 [doi]
• Learning optimal ranking with tensor factorization for tag recommendationSteffen Rendle, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme. 727-736 [doi]
• Scalable graph clustering using stochastic flows: applications to community discoveryVenu Satuluri, Srinivasan Parthasarathy. 737-746 [doi]
• Measuring the effects of preprocessing decisions and network forces in dynamic network analysisJerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian. 747-756 [doi]
• Mining discrete patterns via binary matrix factorizationBao-Hong Shen, Shuiwang Ji, Jieping Ye. 757-766 [doi]
• Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)Lei Shi, Vandana Pursnani Janeja. 767-776 [doi]
• User grouping behavior in online forumsXiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang. 777-786 [doi]
• Causality quantification and its applications: structuring and modeling of multivariate time seriesTakashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi. 787-796 [doi]
• Ranking-based clustering of heterogeneous information networks with star network schemaYizhou Sun, Yintao Yu, Jiawei Han. 797-806 [doi]
• Social influence analysis in large-scale networksJie Tang, Jimeng Sun, Chi Wang, Zi Yang. 807-816 [doi]
• Relational learning via latent social dimensionsLei Tang, Huan Liu. 817-826 [doi]
• Constant-factor approximation algorithms for identifying dynamic communitiesChayant Tantipathananandh, Tanya Y. Berger-Wolf. 827-836 [doi]
• DOULION: counting triangles in massive graphs with a coinCharalampos E. Tsourakakis, U. Kang, Gary L. Miller, Christos Faloutsos. 837-846 [doi]
• Category detection using hierarchical mean shiftPavan Vatturi, Weng-Keen Wong. 847-856 [doi]
• Learning, indexing, and diagnosing network faultsTing Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling Liu. 857-866 [doi]
• Mining broad latent query aspects from search sessionsXuanhui Wang, Deepayan Chakrabarti, Kunal Punera. 867-876 [doi]
• Adapting the right measures for K-means clusteringJunjie Wu, Hui Xiong, Jian Chen. 877-886 [doi]
• A LRT framework for fast spatial anomaly detectionMingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums. 887-896 [doi]
• Quantification and semi-supervised classification methods for handling changes in class distributionJack Chongjie Xue, Gary M. Weiss. 897-906 [doi]
• Fast approximate spectral clusteringDonghui Yan, Ling Huang, Michael I. Jordan. 907-916 [doi]
• Effective multi-label active learning for text classificationBishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Chen. 917-926 [doi]
• Combining link and content for community detection: a discriminative approachTianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu. 927-936 [doi]
• Efficient methods for topic model inference on streaming document collectionsLimin Yao, David M. Mimno, Andrew McCallum. 937-946 [doi]
• Time series shapelets: a new primitive for data miningLexiang Ye, Eamonn J. Keogh. 947-956 [doi]
• Exploring social tagging graph for web object classificationZhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han. 957-966 [doi]
• Mining social networks for personalized email prioritizationShinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon. 967-976 [doi]
• Learning patterns in the dynamics of biological networksChang Hun You, Lawrence B. Holder, Diane J. Cook. 977-986 [doi]
• Toward autonomic grids: analyzing the job flow with affinity streamingXiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain-Renaud, Michèle Sebag. 987-996 [doi]
• Parallel community detection on large networks with propinquity dynamicsYuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou. 997-1006 [doi]
• Co-evolution of social and affiliation networksElena Zheleva, Hossam Sharara, Lise Getoor. 1007-1016 [doi]
• Information theoretic regularization for semi-supervised boostingLei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee. 1017-1026 [doi]
• Cross domain distribution adaptation via kernel mappingErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure. 1027-1036 [doi]
• Mining rich session context to improve web searchGuangyu Zhu, Gilad Mishne. 1037-1046 [doi]
• Primal sparse Max-margin Markov networksJun Zhu, Eric P. Xing, Bo Zhang. 1047-1056 [doi]
• Augmenting the generalized hough transform to enable the mining of petroglyphsQiang Zhu, Xiaoyue Wang, Eamonn J. Keogh, Sang-Hee Lee. 1057-1066 [doi]
• Modeling and predicting user behavior in sponsored searchJosh Attenberg, Sandeep Pandey, Torsten Suel. 1067-1076 [doi]
• Enabling analysts in managed services for CRM analyticsIndrajit Bhattacharya, Shantanu Godbole, Ajay Gupta, Ashish Verma, Jeff Achtermann, Kevin English. 1077-1086 [doi]
• Applying syntactic similarity algorithms for enterprise information managementLudmila Cherkasova, Kave Eshghi, Charles B. Morrey, Joseph Tucek, Alistair Veitch. 1087-1096 [doi]
• A case study of behavior-driven conjoint analysis on Yahoo!: front page today moduleWei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, Joe Zachariah. 1097-1104 [doi]
• Seven pitfalls to avoid when running controlled experiments on the webThomas Crook, Brian Frasca, Ron Kohavi, Roger Longbotham. 1105-1114 [doi]
• Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix dataSrivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh. 1115-1124 [doi]
• Entity discovery and assignment for opinion mining applicationsXiaowen Ding, Bing Liu, Lei Zhang. 1125-1134 [doi]
• Migration motif: a spatial - temporal pattern mining approach for financial marketsXiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr.. 1135-1144 [doi]
• Improving classification accuracy using automatically extracted training dataAriel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, John C. Shafer. 1145-1154 [doi]
• Address standardization with latent semantic associationHonglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang, Zhong Su. 1155-1164 [doi]
• Catching the drift: learning broad matches from clickthrough dataSonal Gupta, Mikhail Bilenko, Matthew Richardson. 1165-1174 [doi]
• COA: finding novel patents through text analysisMohammad Al Hasan, W. Scott Spangler, Thomas D. Griffin, Alfredo Alba. 1175-1184 [doi]
• Network anomaly detection based on Eigen equation compressionShunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki. 1185-1194 [doi]
• OpinionMiner: a novel machine learning system for web opinion mining and extractionWei Jin, Hung Hay Ho, Rohini K. Srihari. 1195-1204 [doi]
• Query result clustering for object-level searchJongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen. 1205-1214 [doi]
• Grocery shopping recommendations based on basket-sensitive random walkMing Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa. 1215-1224 [doi]
• Learning dynamic temporal graphs for oil-production equipment monitoring systemYan Liu, Jayant R. Kalagnanam, Oivind Johnsen. 1225-1234 [doi]
• Towards combining web classification and web information extraction: a case studyPing Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi. 1235-1244 [doi]
• Beyond blacklists: learning to detect malicious web sites from suspicious URLsJustin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker. 1245-1254 [doi]
• Clustering event logs using iterative partitioningAdetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios. 1255-1264 [doi]
• SNARE: a link analytic system for graph labeling and risk detectionMary McGlohon, Stephen Bay, Markus G. Anderle, David M. Steier, Christos Faloutsos. 1265-1274 [doi]
• Sentiment analysis of blogs by combining lexical knowledge with text classificationPrem Melville, Wojciech Gryc, Richard D. Lawrence. 1275-1284 [doi]
• Anonymizing healthcare data: a case study on the blood transfusion serviceNoman Mohammed, Benjamin C. M. Fung, Patrick C. K. Hung, Cheuk-kwong Lee. 1285-1294 [doi]
• Towards a universal marketplace over the web: statistical multi-label classification of service provider forms with simulated annealingKivanc M. Ozonat, Donald Young. 1295-1304 [doi]
• Sustainable operation and management of data center chillers using temporal data miningDebprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan. 1305-1314 [doi]
• BGP-lens: patterns and anomalies in internet routing updatesB. Aditya Prakash, Nicholas Valler, David Andersen, Michalis Faloutsos, Christos Faloutsos. 1315-1324 [doi]
• Predicting bounce rates in sponsored search advertisementsD. Sculley, Robert G. Malkin, Sugato Basu, Roberto J. Bayardo. 1325-1334 [doi]
• Mining brain region connectivity for alzheimer s disease study via sparse inverse covariance estimationLiang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye. 1335-1344 [doi]
• Can we learn a template-independent wrapper for news article extraction from a single training site?Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang. 1345-1354 [doi]
• PSkip: estimating relevance ranking quality from web search clickthrough dataKuansan Wang, Toby Walker, Zijian Zheng. 1355-1364 [doi]
• Named entity mining from click-through data using weakly supervised latent dirichlet allocationGu Xu, Shuang-Hong Yang, Hang Li. 1365-1374 [doi]
• Incorporating site-level knowledge for incremental crawling of web forums: a list-wise strategyJiang-Ming Yang, Rui Cai, Chunsong Wang, Hua Huang, Lei Zhang, Wei-Ying Ma. 1375-1384 [doi]
• Intelligent file scoring system for malware detection from the gray listYanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan. 1385-1394 [doi]
• OLAP on search logs: an infrastructure supporting data-driven applications in search enginesBin Zhou 0002, Daxin Jiang, Jian Pei, Hang Li. 1395-1404 [doi]