11. KDD 2005: Chicago, Illinois, USA

Robert Grossman, Roberto Bayardo, Kristin P. Bennett (Eds.): Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005. ACM 2005, ISBN 1-59593-135-X BibTeX

Invited Talks

Prabhakar Raghavan:
Incentive networks. 1
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Gian Fulgoni:
Mining the internet: the eighth wonder of the world. 2
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Albert-László Barabási:
The architecture of complexity: the structure and the dynamics of networks, from the web to the cell. 3
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Research Track Papers

Rong Chen, Edward Herskovits:
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. 4-12
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Anirban Dasgupta, Ravi Kumar, Prabhakar Raghavan, Andrew Tomkins:
Variable latent semantic indexing. 13-21
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Jianping Fan, Hangzai Luo, Mohand-Said Hacid:
Mining images on semantics via statistical learning. 22-31
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Glenn Fung, Sathyakama Sandilya, R. Bharat Rao:
Rule extraction from linear support vector machines. 32-40
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Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, Wei-Ying Ma:
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering. 41-50
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Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas:
Dimension induced clustering. 51-60
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Bart Goethals, Eveline Hoekx, Jan Van den Bussche:
Mining tree queries in a graph. 61-69
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David Gondek, Thomas Hofmann:
Non-redundant clustering with conditional ensembles. 70-77
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Daniel Gruhl, Ramanathan V. Guha, Ravi Kumar, Jasmine Novak, Andrew Tomkins:
The predictive power of online chatter. 78-87
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Sudipto Guha, Boulos Harb:
Wavelet synopsis for data streams: minimizing non-euclidean error. 88-97
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Shlomo Hershkop, Salvatore J. Stolfo:
Combining email models for false positive reduction. 98-107
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Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan:
Nomograms for visualizing support vector machines. 108-117
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Szymon Jaroszewicz, Tobias Scheffer:
Fast discovery of unexpected patterns in data, relative to a Bayesian network. 118-127
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Aleksander Kolcz:
Local sparsity control for naive Bayes with extreme misclassification costs. 128-137
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Jeremy Kubica, Andrew W. Moore, Andrew Connolly, Robert Jedicke:
A multiple tree algorithm for the efficient association of asteroid observations. 138-146
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Tilman Lange, Joachim M. Buhmann:
Combining partitions by probabilistic label aggregation. 147-156
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Aleksandar Lazarevic, Vipin Kumar:
Feature bagging for outlier detection. 157-166
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Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupan:
Simple and effective visual models for gene expression cancer diagnostics. 167-176
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Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos:
Graphs over time: densification laws, shrinking diameters and possible explanations. 177-187
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Tao Li:
A general model for clustering binary data. 188-197
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Qiaozhu Mei, ChengXiang Zhai:
Discovering evolutionary theme patterns from text: an exploration of temporal text mining. 198-207
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Srujana Merugu, Joydeep Ghosh:
A distributed learning framework for heterogeneous data sources. 208-217
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Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel:
Detection of emerging space-time clusters. 218-227
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Jian Pei, Daxin Jiang, Aidong Zhang:
On mining cross-graph quasi-cliques. 228-238
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Filip Radlinski, Thorsten Joachims:
Query chains: learning to rank from implicit feedback. 239-248
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Saharon Rosset:
Robust boosting and its relation to bagging. 249-255
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Mark Sandler:
On the use of linear programming for unsupervised text classification. 256-264
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Martin Scholz:
Sampling-based sequential subgroup mining. 265-274
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Ricardo Silva, Jiji Zhang, James G. Shanahan:
Probabilistic workflow mining. 275-284
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Antti Ukkonen, Mikael Fortelius, Heikki Mannila:
Finding partial orders from unordered 0-1 data. 285-293
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Muyuan Wang, Zhiwei Li, Lie Lu, Wei-Ying Ma, Naiyao Zhang:
Web object indexing using domain knowledge. 294-303
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Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi:
Improving discriminative sequential learning with rare--but--important associations. 304-313
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Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin:
Summarizing itemset patterns: a profile-based approach. 314-323
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Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han:
Mining closed relational graphs with connectivity constraints. 324-333
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Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright:
Anonymity-preserving data collection. 334-343
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Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Cross-relational clustering with user's guidance. 344-353
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Hwanjo Yu:
SVM selective sampling for ranking with application to data retrieval. 354-363
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Mohammed Javeed Zaki, Naren Ramakrishnan:
Reasoning about sets using redescription mining. 364-373
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Nan Zhang, Shengquan Wang, Wei Zhao:
A new scheme on privacy-preserving data classification. 374-383
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Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar:
Streaming feature selection using alpha-investing. 384-393
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Industry/Government Track Papers

George Forman, Kave Eshghi, Stephane Chiocchetti:
Finding similar files in large document repositories. 394-400
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Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An approach to spacecraft anomaly detection problem using kernel feature space. 401-410
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Rayid Ghani:
Price prediction and insurance for online auctions. 411-418
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Natalie S. Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo:
Deriving marketing intelligence from online discussion. 419-428
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Bin He, Kevin Chen-Chuan Chang:
Making holistic schema matching robust: an ensemble approach. 429-438
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Olfa Nasraoui, Cesar Cardona, Carlos Rojas:
Using retrieval measures to assess similarity in mining dynamic web clickstreams. 439-448
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Jennifer Neville, Özgür Simsek, David Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg:
Using relational knowledge discovery to prevent securities fraud. 449-458
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G. Niklas Norén, Roland Orre, Andrew Bate:
A hit-miss model for duplicate detection in the WHO drug safety database. 459-468
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Bhavani Raskutti, Alan Herschtal:
Predicting the product purchase patterns of corporate customers. 469-478
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Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun:
Modeling and predicting personal information dissemination behavior. 479-488
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Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang:
Email data cleaning. 489-498
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Kenji Yamanishi, Yuko Maruyama:
Dynamic syslog mining for network failure monitoring. 499-508
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Lian Yan, Michael Fassino, Patrick Baldasare:
Enhancing the lift under budget constraints: an application in the mutual fund industry. 509-515
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Chunsheng Yang, Sylvain Létourneau:
Learning to predict train wheel failures. 516-525
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Research Track Posters

Charu C. Aggarwal:
Towards exploratory test instance specific algorithms for high dimensional classification. 526-531
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Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney:
Model-based overlapping clustering. 532-537
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Christopher Besemann, Anne Denton:
Integration of profile hidden Markov model output into association rule mining. 538-543
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Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou:
Scalable discovery of hidden emails from large folders. 544-549
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Xin Chen, Yi-fang Brook Wu:
Web mining from competitors' websites. 550-555
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Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen:
LIPED: HMM-based life profiles for adaptive event detection. 556-561
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Shengnan Cong, Jiawei Han, David A. Padua:
Parallel mining of closed sequential patterns. 562-567
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Andrew Fast, David Jensen, Brian Neil Levine:
Creating social networks to improve peer-to-peer networking. 568-573
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Ramanathan V. Guha, Ravi Kumar, D. Sivakumar, Ravi Sundaram:
Unweaving a web of documents. 574-579
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Cinda Heeren, Leonard Pitt:
Maximal boasting. 580-585
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Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto:
Application of kernels to link analysis. 586-592
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Geetha Jagannathan, Rebecca N. Wright:
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data. 593-599
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Ruoming Jin, Kaushik Sinha, Gagan Agrawal:
Simultaneous optimization of complex mining tasks with a knowledgeable cache. 600-605
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Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal:
Discovering frequent topological structures from graph datasets. 606-611
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Xin Jin, Yanzan Zhou, Bamshad Mobasher:
A maximum entropy web recommendation system: combining collaborative and content features. 612-617
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Noriaki Kawamae, Katsumi Takahashi:
Information retrieval based on collaborative filtering with latent interest semantic map. 618-623
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Moshe Koppel, Jonathan Schler, Kfir Zigdon:
Determining an author's native language by mining a text for errors. 624-628
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Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis:
A fast kernel-based multilevel algorithm for graph clustering. 629-634
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Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Co-clustering by block value decomposition. 635-640
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Daniel Lowd, Christopher Meek:
Adversarial learning. 641-647
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Sandeep Mane, Jaideep Srivastava, San-Yih Hwang:
Estimating missed actual positives using independent classifiers. 648-653
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Michinari Momma:
Efficient computations via scalable sparse kernel partial least squares and boosted latent features. 654-659
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Fabian Mörchen, Alfred Ultsch:
Optimizing time series discretization for knowledge discovery. 660-665
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Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, Yosuke Sakao, Susumu Akamine:
Key semantics extraction by dependency tree mining. 666-671
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Hans-Peter Kriegel, Martin Pfeifle:
Density-based clustering of uncertain data. 672-677
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Ellen Spertus, Mehran Sahami, Orkut Buyukkokten:
Evaluating similarity measures: a large-scale study in the orkut social network. 678-684
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Mihai Surdeanu, Jordi Turmo, Alicia Ageno:
A hybrid unsupervised approach for document clustering. 685-690
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Tao Tao, ChengXiang Zhai:
Mining comparable bilingual text corpora for cross-language information integration. 691-696
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Luís Torgo:
Regression error characteristic surfaces. 697-702
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Gang Wu, Edward Y. Chang, Navneet Panda:
Formulating distance functions via the kernel trick. 703-709
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Ying Yang, Xindong Wu, Xingquan Zhu:
Combining proactive and reactive predictions for data streams. 710-715
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Hui Yang, Srinivasan Parthasarathy, Sameep Mehta:
A generalized framework for mining spatio-temporal patterns in scientific data. 716-721
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Li Yang:
Building connected neighborhood graphs for isometric data embedding. 722-728
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Osmar R. Zaïane, Mohammad El-Hajj:
Pattern lattice traversal by selective jumps. 729-735
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Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl:
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. 736-742
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Richard Cole, Dennis Shasha, Xiaojian Zhao:
Fast window correlations over uncooperative time series. 743-749
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Industry/Government Track Posters

Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira:
Failure detection and localization in component based systems by online tracking. 750-755
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Daniel R. Jeske, Behrokh Samadi, Pengyue J. Lin, Lan Ye, Sean Cox, Rui Xiao, Ted Younglove, Minh Ly, Douglas Holt, Ryan Rich:
Generation of synthetic data sets for evaluating the accuracy of knowledge discovery systems. 756-762
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Alex N. Kalos, Tim Rey:
Data mining in the chemical industry. 763-769
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Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman:
Mining risk patterns in medical data. 770-775
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Tao Li, Feng Liang, Sheng Ma, Wei Peng:
An integrated framework on mining logs files for computing system management. 776-781
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Xiang Li, Rahul Ramachandran, Sara J. Graves, Sunil Movva, Bilahari Akkiraju, David Emmitt, Steven Greco, Robert Atlas, Joseph Terry, Juan-Carlos Jusem:
Automated detection of frontal systems from numerical model-generated data. 782-787
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Ronald K. Pearson, Robert J. Kingan, Alan Hochberg:
Disease progression modeling from historical clinical databases. 788-793
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Valery A. Petrushin:
Mining rare and frequent events in multi-camera surveillance video using self-organizing maps. 794-800
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Rob Powers, Moisés Goldszmidt, Ira Cohen:
Short term performance forecasting in enterprise systems. 801-807
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Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli:
A multinomial clustering model for fast simulation of computer architecture designs. 808-813
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Haixun Wang, Jian Pei, Philip S. Yu:
Pattern-based similarity search for microarray data. 814-819
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