15. KDD 2009: Paris, France

Keynote talks

• David J. Hand:
  Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools. 1-2
  
• Ravi Kumar:
  Mining web logs: applications and challenges. 3-4
  
• Heikki Mannila:
  Randomization methods in data mining. 5-6
  
• Ashok N. Srivastava:
  Data mining at NASA: from theory to applications. 7-8
  
• Stanley Wasserman:
  Network science: an introduction to recent statistical approaches. 9-10
  

Panel

• Michael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcade, Rick Pechter, Mike Hoskins, Wayne Thompson, Rich Holada:
  Open standards and cloud computing: KDD-2009 panel report. 11-18
  

Research track papers

• Deepak Agarwal, Bee-Chung Chen:
  Regression-based latent factor models. 19-28
  
• Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang:
  Frequent pattern mining with uncertain data. 29-38
  
• Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy:
  Structured correspondence topic models for mining captioned figures in biological literature. 39-48
  
• Anurag Ambekar, Charles B. Ward, Jahangir Mohammed, Swapna Male, Steven Skiena:
  Name-ethnicity classification from open sources. 49-58
  
• Shin Ando, Einoshin Suzuki:
  Detection of unique temporal segments by information theoretic meta-clustering. 59-68
  
• Mafruz Zaman Ashrafi, See-Kiong Ng:
  Collusion-resistant anonymous data collection method. 69-78
  
• Sitaram Asur, Srinivasan Parthasarathy:
  A viewpoint-based approach for interaction graph analysis. 79-88
  
• Lars Backstrom, Jon M. Kleinberg, Ravi Kumar:
  Optimizing web traffic via the media scheduling problem. 89-98
  
• Ron Bekkerman, Martin Scholz, Krishnamurthy Viswanathan:
  Improving clustering stability with combinatorial MRFs. 99-108
  
• Michele Berlingerio, Fabio Pinelli, Mirco Nanni, Fosca Giannotti:
  Temporal mining for interactive workflow data analysis. 109-118
  
• Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Florian Verhein, Andreas Züfle:
  Probabilistic frequent itemset mining in uncertain databases. 119-128
  
• Alina Beygelzimer, John Langford:
  The offset tree for learning with partial labels. 129-138
  
• Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà:
  New ensemble methods for evolving data streams. 139-148
  
• Christian Böhm, Katrin Haegler, Nikola S. Müller, Claudia Plant:
  CoCo: coding cost for parameter-free outlier detection. 149-158
  
• Yingyi Bu, Lei Chen, Ada Wai-Chee Fu, Dawei Liu:
  Efficient anomaly monitoring over moving object trajectory streams. 159-168
  
• Jonathan Chang, Jordan L. Boyd-Graber, David M. Blei:
  Connections between the lines: augmenting social networks with text. 169-178
  
• Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
  Extracting discriminative concepts for domain adaptation in text mining. 179-188
  
• Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney:
  Constrained optimization for validation-guided conditional random field learning. 189-198
  
• Wei Chen, Yajun Wang, Siyu Yang:
  Efficient influence maximization in social networks. 199-208
  
• Ye Chen, Dmitry Pavlov, John F. Canny:
  Large-scale behavioral targeting. 209-218
  
• Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Michael Mitzenmacher, Alessandro Panconesi, Prabhakar Raghavan:
  On compressing social networks. 219-228
  
• Erick Delage:
  Regret-based online ranking for a growing digital library. 229-238
  
• Hongbo Deng, Michael R. Lyu, Irwin King:
  A generalized Co-HITS algorithm and its application to bipartite graphs. 239-248
  
• Meghana Deodhar, Joydeep Ghosh:
  Mining for the most certain predictions from dyadic data. 249-258
  
• Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider:
  Efficiently learning the accuracy of labeling sources for selective sampling. 259-268
  
• Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu:
  Large human communication networks: patterns and a utility-driven generator. 269-278
  
• Murat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa:
  Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology. 279-288
  
• Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin:
  Turning down the noise in the blogosphere. 289-298
  
• George Forman, Martin Scholz, Shyamsundar Rajaram:
  Feature shaping for linear SVM classifiers. 299-308
  
• Richard Frank, Martin Ester, Arno J. Knobbe:
  A multi-relational approach to spatial classification. 309-318
  
• Antonino Freno, Edmondo Trentin, Marco Gori:
  Scalable pseudo-likelihood estimation in hybrid random fields. 319-328
  
• João Gama, Raquel Sebastião, Pedro Pereira Rodrigues:
  Issues in evaluation of stream learning algorithms. 329-338
  
• Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han:
  Heterogeneous source consensus learning via decision propagation and negotiation. 339-348
  
• Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo, Xiaofeng Gao, Weili Wu:
  Multi-focal learning and its application to customer service support. 349-358
  
• Quanquan Gu, Jie Zhou:
  Co-clustering on manifolds. 359-368
  
• Lei Guo, Enhua Tan, Songqing Chen, Xiaodong Zhang, Yihong Eric Zhao:
  Analyzing patterns of user content generation in online social networks. 369-378
  
• Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
  Tell me something I don't know: randomization strategies for iterative data mining. 379-388
  
• Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, Xiaohua Zhou:
  Exploiting Wikipedia as external knowledge for document clustering. 389-396
  
• Mohsen Jamali, Martin Ester:
  TrustWalker: a random walk model for combining trust-based and item-based recommendation. 397-406
  
• Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye:
  Drosophila gene expression pattern annotation using sparse features and term-term interactions. 407-416
  
• Ruoming Jin, Yang Xiang, Lin Liu:
  Cartesian contour: a concise representation for a collection of frequent sets. 417-426
  
• Aleksander Kolcz, Gordon V. Cormack:
  Genre-based decomposition of email class noise. 427-436
  
• Arne Koopman, Arno Siebes:
  Characteristic relational patterns. 437-446
  
• Yehuda Koren:
  Collaborative filtering with temporal dynamics. 447-456
  
• Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti:
  Collective annotation of Wikipedia entities in web text. 457-466
  
• Theodoros Lappas, Kun Liu, Evimaria Terzi:
  Finding a team of experts in social networks. 467-476
  
• Theodoros Lappas, Benjamin Arai, Manolis Platakis, Dimitrios Kotsakos, Dimitrios Gunopulos:
  On burstiness-aware search for document sequences. 477-486
  
• Mark Last:
  Improving data mining utility with projective sampling. 487-496
  
• Jure Leskovec, Lars Backstrom, Jon M. Kleinberg:
  Meme-tracking and the dynamics of the news cycle. 497-506
  
• Lei Li, James McCann, Nancy S. Pollard, Christos Faloutsos:
  DynaMMo: mining and summarization of coevolving sequences with missing values. 507-516
  
• Tiancheng Li, Ninghui Li:
  On the tradeoff between privacy and utility in data publishing. 517-526
  
• Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher:
  MetaFac: community discovery via relational hypergraph factorization. 527-536
  
• Chao Liu, Fan Guo, Christos Faloutsos:
  BBM: bayesian browsing model from petabyte-scale data. 537-546
  
• Jun Liu, Jianhui Chen, Jieping Ye:
  Large-scale sparse logistic regression. 547-556
  
• David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, Chengnian Sun:
  Classification of software behaviors for failure detection: a discriminative pattern mining approach. 557-566
  
• Steven Loscalzo, Lei Yu, Chris H. Q. Ding:
  Consensus group stable feature selection. 567-576
  
• Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset:
  Grouped graphical Granger modeling methods for temporal causal modeling. 577-586
  
• Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe:
  Spatial-temporal causal modeling for climate change attribution. 587-596
  
• Sofus A. Macskassy:
  Using graph-based metrics with empirical risk minimization to speed up active learning on networked data. 597-606
  
• R. Dean Malmgren, Jake M. Hofman, Luis A. Nunes Amaral, Duncan J. Watts:
  Characterizing individual communication patterns. 607-616
  
• Andreas Maunz, Christoph Helma, Stefan Kramer:
  Large-scale graph mining using backbone refinement classes. 617-626
  
• Frank McSherry, Ilya Mironov:
  Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders. 627-636
  
• Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti:
  WhereNext: a location predictor on trajectory pattern mining. 637-646
  
• Siegfried Nijssen, Tias Guns, Luc De Raedt:
  Correlated itemset mining in ROC space: a constraint programming approach. 647-656
  
• Kensuke Onuma, Hanghang Tong, Christos Faloutsos:
  TANGENT: a novel, 'Surprise me', recommendation algorithm. 657-666
  
• Rong Pan, Martin Scholz:
  Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering. 667-676
  
• Gaurav Pandey, Gowtham Atluri, Michael Steinbach, Chad L. Myers, Vipin Kumar:
  An association analysis approach to biclustering. 677-686
  
• Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
  CP-summary: a concise representation for browsing frequent itemsets. 687-696
  
• Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
  Towards efficient mining of proportional fault-tolerant frequent itemsets. 697-706
  
• Foster J. Provost, Brian Dalessandro, Rod Hook, Xiaohan Zhang, Alan Murray:
  Audience selection for on-line brand advertising: privacy-friendly social network targeting. 707-716
  
• Zijie Qi, Ian Davidson:
  A principled and flexible framework for finding alternative clusterings. 717-726
  
• Steffen Rendle, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme:
  Learning optimal ranking with tensor factorization for tag recommendation. 727-736
  
• Venu Satuluri, Srinivasan Parthasarathy:
  Scalable graph clustering using stochastic flows: applications to community discovery. 737-746
  
• Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian:
  Measuring the effects of preprocessing decisions and network forces in dynamic network analysis. 747-756
  
• Bao-Hong Shen, Shuiwang Ji, Jieping Ye:
  Mining discrete patterns via binary matrix factorization. 757-766
  
• Lei Shi, Vandana Pursnani Janeja:
  Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP). 767-776
  
• Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang:
  User grouping behavior in online forums. 777-786
  
• Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi:
  Causality quantification and its applications: structuring and modeling of multivariate time series. 787-796
  
• Yizhou Sun, Yintao Yu, Jiawei Han:
  Ranking-based clustering of heterogeneous information networks with star network schema. 797-806
  
• Jie Tang, Jimeng Sun, Chi Wang, Zi Yang:
  Social influence analysis in large-scale networks. 807-816
  
• Lei Tang, Huan Liu:
  Relational learning via latent social dimensions. 817-826
  
• Chayant Tantipathananandh, Tanya Y. Berger-Wolf:
  Constant-factor approximation algorithms for identifying dynamic communities. 827-836
  
• Charalampos E. Tsourakakis, U. Kang, Gary L. Miller, Christos Faloutsos:
  DOULION: counting triangles in massive graphs with a coin. 837-846
  
• Pavan Vatturi, Weng-Keen Wong:
  Category detection using hierarchical mean shift. 847-856
  
• Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling Liu:
  Learning, indexing, and diagnosing network faults. 857-866
  
• Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera:
  Mining broad latent query aspects from search sessions. 867-876
  
• Junjie Wu, Hui Xiong, Jian Chen:
  Adapting the right measures for K-means clustering. 877-886
  
• Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums:
  A LRT framework for fast spatial anomaly detection. 887-896
  
• Jack Chongjie Xue, Gary M. Weiss:
  Quantification and semi-supervised classification methods for handling changes in class distribution. 897-906
  
• Donghui Yan, Ling Huang, Michael I. Jordan:
  Fast approximate spectral clustering. 907-916
  
• Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Chen:
  Effective multi-label active learning for text classification. 917-926
  
• Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
  Combining link and content for community detection: a discriminative approach. 927-936
  
• Limin Yao, David M. Mimno, Andrew McCallum:
  Efficient methods for topic model inference on streaming document collections. 937-946
  
• Lexiang Ye, Eamonn J. Keogh:
  Time series shapelets: a new primitive for data mining. 947-956
  
• Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han:
  Exploring social tagging graph for web object classification. 957-966
  
• Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon:
  Mining social networks for personalized email prioritization. 967-976
  
• Chang Hun You, Lawrence B. Holder, Diane J. Cook:
  Learning patterns in the dynamics of biological networks. 977-986
  
• Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain-Renaud, Michèle Sebag:
  Toward autonomic grids: analyzing the job flow with affinity streaming. 987-996
  
• Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou:
  Parallel community detection on large networks with propinquity dynamics. 997-1006
  
• Elena Zheleva, Hossam Sharara, Lise Getoor:
  Co-evolution of social and affiliation networks. 1007-1016
  
• Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee:
  Information theoretic regularization for semi-supervised boosting. 1017-1026
  
• ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure:
  Cross domain distribution adaptation via kernel mapping. 1027-1036
  
• Guangyu Zhu, Gilad Mishne:
  Mining rich session context to improve web search. 1037-1046
  
• Jun Zhu, Eric P. Xing, Bo Zhang:
  Primal sparse Max-margin Markov networks. 1047-1056
  
• Qiang Zhu, Xiaoyue Wang, Eamonn J. Keogh, Sang-Hee Lee:
  Augmenting the generalized hough transform to enable the mining of petroglyphs. 1057-1066
  

Industrial track papers

• Josh Attenberg, Sandeep Pandey, Torsten Suel:
  Modeling and predicting user behavior in sponsored search. 1067-1076
  
• Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupta, Ashish Verma, Jeff Achtermann, Kevin English:
  Enabling analysts in managed services for CRM analytics. 1077-1086
  
• Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey III, Joseph Tucek, Alistair C. Veitch:
  Applying syntactic similarity algorithms for enterprise information management. 1087-1096
  
• Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, Joe Zachariah:
  A case study of behavior-driven conjoint analysis on Yahoo!: front page today module. 1097-1104
  
• Thomas Crook, Brian Frasca, Ron Kohavi, Roger Longbotham:
  Seven pitfalls to avoid when running controlled experiments on the web. 1105-1114
  
• Srivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh:
  Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data. 1115-1124
  
• Xiaowen Ding, Bing Liu, Lei Zhang:
  Entity discovery and assignment for opinion mining applications. 1125-1134
  
• Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr.:
  Migration motif: a spatial - temporal pattern mining approach for financial markets. 1135-1144
  
• Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, John C. Shafer:
  Improving classification accuracy using automatically extracted training data. 1145-1154
  
• Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang, Zhong Su:
  Address standardization with latent semantic association. 1155-1164
  
• Sonal Gupta, Mikhail Bilenko, Matthew Richardson:
  Catching the drift: learning broad matches from clickthrough data. 1165-1174
  
• Mohammad Al Hasan, W. Scott Spangler, Thomas D. Griffin, Alfredo Alba:
  COA: finding novel patents through text analysis. 1175-1184
  
• Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki:
  Network anomaly detection based on Eigen equation compression. 1185-1194
  
• Wei Jin, Hung Hay Ho, Rohini K. Srihari:
  OpinionMiner: a novel machine learning system for web opinion mining and extraction. 1195-1204
  
• Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen:
  Query result clustering for object-level search. 1205-1214
  
• Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa:
  Grocery shopping recommendations based on basket-sensitive random walk. 1215-1224
  
• Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen:
  Learning dynamic temporal graphs for oil-production equipment monitoring system. 1225-1234
  
• Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi:
  Towards combining web classification and web information extraction: a case study. 1235-1244
  
• Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker:
  Beyond blacklists: learning to detect malicious web sites from suspicious URLs. 1245-1254
  
• Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios:
  Clustering event logs using iterative partitioning. 1255-1264
  
• Mary McGlohon, Stephen Bay, Markus G. Anderle, David M. Steier, Christos Faloutsos:
  SNARE: a link analytic system for graph labeling and risk detection. 1265-1274
  
• Prem Melville, Wojciech Gryc, Richard D. Lawrence:
  Sentiment analysis of blogs by combining lexical knowledge with text classification. 1275-1284
  
• Noman Mohammed, Benjamin C. M. Fung, Patrick C. K. Hung, Cheuk-kwong Lee:
  Anonymizing healthcare data: a case study on the blood transfusion service. 1285-1294
  
• Kivanc M. Ozonat, Donald Young:
  Towards a universal marketplace over the web: statistical multi-label classification of service provider forms with simulated annealing. 1295-1304
  
• Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan:
  Sustainable operation and management of data center chillers using temporal data mining. 1305-1314
  
• B. Aditya Prakash, Nicholas Valler, David Andersen, Michalis Faloutsos, Christos Faloutsos:
  BGP-lens: patterns and anomalies in internet routing updates. 1315-1324
  
• D. Sculley, Robert G. Malkin, Sugato Basu, Roberto J. Bayardo:
  Predicting bounce rates in sponsored search advertisements. 1325-1334
  
• Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye:
  Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. 1335-1344
  
• Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang:
  Can we learn a template-independent wrapper for news article extraction from a single training site? 1345-1354
  
• Kuansan Wang, Toby Walker, Zijian Zheng:
  PSkip: estimating relevance ranking quality from web search clickthrough data. 1355-1364
  
• Gu Xu, Shuang-Hong Yang, Hang Li:
  Named entity mining from click-through data using weakly supervised latent dirichlet allocation. 1365-1374
  
• Jiang-Ming Yang, Rui Cai, Chunsong Wang, Hua Huang, Lei Zhang, Wei-Ying Ma:
  Incorporating site-level knowledge for incremental crawling of web forums: a list-wise strategy. 1375-1384
  
• Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan:
  Intelligent file scoring system for malware detection from the gray list. 1385-1394
  
• Bin Zhou, Daxin Jiang, Jian Pei, Hang Li:
  OLAP on search logs: an infrastructure supporting data-driven applications in search engines. 1395-1404
  

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