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ORCID11th KDD 2005: Chicago, Illinois, USA
- Robert Grossman, Roberto J. Bayardo, Kristin P. Bennett:
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
Invited Talks
- Prabhakar Raghavan:
Incentive networks. 1 - Gian Fulgoni:
Mining the internet: the eighth wonder of the world. 2 - Albert-László Barabási:
The architecture of complexity: the structure and the dynamics of networks, from the web to the cell. 3
Research Track Papers
- Rong Chen, Edward Herskovits:
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. 4-12 - Anirban Dasgupta
, Ravi Kumar, Prabhakar Raghavan, Andrew Tomkins:
Variable latent semantic indexing. 13-21 - Jianping Fan, Hangzai Luo, Mohand-Said Hacid:
Mining images on semantics via statistical learning. 22-31 - Glenn Fung, Sathyakama Sandilya, R. Bharat Rao:
Rule extraction from linear support vector machines. 32-40 - 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 - Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas:
Dimension induced clustering. 51-60 - Bart Goethals, Eveline Hoekx, Jan Van den Bussche:
Mining tree queries in a graph. 61-69 - David Gondek, Thomas Hofmann:
Non-redundant clustering with conditional ensembles. 70-77 - Daniel Gruhl, Ramanathan V. Guha, Ravi Kumar, Jasmine Novak, Andrew Tomkins:
The predictive power of online chatter. 78-87 - Sudipto Guha, Boulos Harb:
Wavelet synopsis for data streams: minimizing non-euclidean error. 88-97 - Shlomo Hershkop, Salvatore J. Stolfo:
Combining email models for false positive reduction. 98-107 - Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan:
Nomograms for visualizing support vector machines. 108-117 - Szymon Jaroszewicz, Tobias Scheffer:
Fast discovery of unexpected patterns in data, relative to a Bayesian network. 118-127 - Aleksander Kolcz:
Local sparsity control for naive Bayes with extreme misclassification costs. 128-137 - Jeremy Kubica, Andrew W. Moore, Andrew J. Connolly, Robert Jedicke:
A multiple tree algorithm for the efficient association of asteroid observations. 138-146 - Tilman Lange, Joachim M. Buhmann:
Combining partitions by probabilistic label aggregation. 147-156 - Aleksandar Lazarevic, Vipin Kumar:
Feature bagging for outlier detection. 157-166 - Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupan:
Simple and effective visual models for gene expression cancer diagnostics. 167-176 - Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos:
Graphs over time: densification laws, shrinking diameters and possible explanations. 177-187 - Tao Li:
A general model for clustering binary data. 188-197 - Qiaozhu Mei, ChengXiang Zhai:
Discovering evolutionary theme patterns from text: an exploration of temporal text mining. 198-207 - Srujana Merugu, Joydeep Ghosh:
A distributed learning framework for heterogeneous data sources. 208-217 - Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel:
Detection of emerging space-time clusters. 218-227 - Jian Pei, Daxin Jiang, Aidong Zhang:
On mining cross-graph quasi-cliques. 228-238 - Filip Radlinski, Thorsten Joachims:
Query chains: learning to rank from implicit feedback. 239-248 - Saharon Rosset:
Robust boosting and its relation to bagging. 249-255 - Mark Sandler:
On the use of linear programming for unsupervised text classification. 256-264 - Martin Scholz:
Sampling-based sequential subgroup mining. 265-274 - Ricardo Bezerra de Andrade e Silva, Jiji Zhang, James G. Shanahan:
Probabilistic workflow mining. 275-284 - Antti Ukkonen, Mikael Fortelius, Heikki Mannila:
Finding partial orders from unordered 0-1 data. 285-293 - Muyuan Wang, Zhiwei Li, Lie Lu, Wei-Ying Ma, Naiyao Zhang:
Web object indexing using domain knowledge. 294-303 - Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi:
Improving discriminative sequential learning with rare--but--important associations. 304-313 - Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin:
Summarizing itemset patterns: a profile-based approach. 314-323 - Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han:
Mining closed relational graphs with connectivity constraints. 324-333 - Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright:
Anonymity-preserving data collection. 334-343 - Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Cross-relational clustering with user's guidance. 344-353 - Hwanjo Yu:
SVM selective sampling for ranking with application to data retrieval. 354-363 - Mohammed Javeed Zaki, Naren Ramakrishnan:
Reasoning about sets using redescription mining. 364-373 - Nan Zhang, Shengquan Wang, Wei Zhao:
A new scheme on privacy-preserving data classification. 374-383 - Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar:
Streaming feature selection using alpha-investing. 384-393
Industry/Government Track Papers
- George Forman, Kave Eshghi, Stephane Chiocchetti:
Finding similar files in large document repositories. 394-400 - Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An approach to spacecraft anomaly detection problem using kernel feature space. 401-410 - Rayid Ghani:
Price prediction and insurance for online auctions. 411-418 - Natalie S. Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo:
Deriving marketing intelligence from online discussion. 419-428 - Bin He, Kevin Chen-Chuan Chang:
Making holistic schema matching robust: an ensemble approach. 429-438 - Olfa Nasraoui, Cesar Cardona, Carlos Rojas:
Using retrieval measures to assess similarity in mining dynamic web clickstreams. 439-448 - Jennifer Neville, Özgür Simsek, David D. Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg:
Using relational knowledge discovery to prevent securities fraud. 449-458 - G. Niklas Norén, Roland Orre, Andrew Bate:
A hit-miss model for duplicate detection in the WHO drug safety database. 459-468 - Bhavani Raskutti, Alan Herschtal:
Predicting the product purchase patterns of corporate customers. 469-478 - Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun:
Modeling and predicting personal information dissemination behavior. 479-488 - Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang:
Email data cleaning. 489-498 - Kenji Yamanishi, Yuko Maruyama:
Dynamic syslog mining for network failure monitoring. 499-508 - Lian Yan, Michael Fassino, Patrick Baldasare:
Enhancing the lift under budget constraints: an application in the mutual fund industry. 509-515 - Chunsheng Yang, Sylvain Létourneau:
Learning to predict train wheel failures. 516-525
Research Track Posters
- Charu C. Aggarwal:
Towards exploratory test instance specific algorithms for high dimensional classification. 526-531 - Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney:
Model-based overlapping clustering. 532-537 - Christopher Besemann, Anne Denton:
Integration of profile hidden Markov model output into association rule mining. 538-543 - Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou:
Scalable discovery of hidden emails from large folders. 544-549 - Xin Chen, Yi-fang Brook Wu:
Web mining from competitors' websites. 550-555 - Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen:
LIPED: HMM-based life profiles for adaptive event detection. 556-561 - Shengnan Cong, Jiawei Han, David A. Padua:
Parallel mining of closed sequential patterns. 562-567 - Andrew S. Fast, David D. Jensen, Brian Neil Levine:
Creating social networks to improve peer-to-peer networking. 568-573 - Ramanathan V. Guha, Ravi Kumar, D. Sivakumar, Ravi Sundaram:
Unweaving a web of documents. 574-579 - Cinda Heeren, Leonard Pitt:
Maximal boasting. 580-585 - Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto:
Application of kernels to link analysis. 586-592 - Geetha Jagannathan, Rebecca N. Wright:
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data. 593-599 - Ruoming Jin, Kaushik Sinha, Gagan Agrawal:
Simultaneous optimization of complex mining tasks with a knowledgeable cache. 600-605 - Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal:
Discovering frequent topological structures from graph datasets. 606-611 - Xin Jin, Yanzan Zhou, Bamshad Mobasher:
A maximum entropy web recommendation system: combining collaborative and content features. 612-617 - Noriaki Kawamae, Katsumi Takahashi:
Information retrieval based on collaborative filtering with latent interest semantic map. 618-623 - Moshe Koppel, Jonathan Schler, Kfir Zigdon:
Determining an author's native language by mining a text for errors. 624-628 - Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis:
A fast kernel-based multilevel algorithm for graph clustering. 629-634 - Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Co-clustering by block value decomposition. 635-640 - Daniel Lowd, Christopher Meek:
Adversarial learning. 641-647 - Sandeep Mane, Jaideep Srivastava, San-Yih Hwang:
Estimating missed actual positives using independent classifiers. 648-653 - Michinari Momma:
Efficient computations via scalable sparse kernel partial least squares and boosted latent features. 654-659 - Fabian Mörchen, Alfred Ultsch:
Optimizing time series discretization for knowledge discovery. 660-665 - Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, Yosuke Sakao, Susumu Akamine:
Key semantics extraction by dependency tree mining. 666-671 - Hans-Peter Kriegel, Martin Pfeifle:
Density-based clustering of uncertain data. 672-677 - Ellen Spertus, Mehran Sahami, Orkut Buyukkokten:
Evaluating similarity measures: a large-scale study in the orkut social network. 678-684 - Mihai Surdeanu, Jordi Turmo, Alicia Ageno:
A hybrid unsupervised approach for document clustering. 685-690 - Tao Tao, ChengXiang Zhai:
Mining comparable bilingual text corpora for cross-language information integration. 691-696 - Luís Torgo:
Regression error characteristic surfaces. 697-702 - Gang Wu, Edward Y. Chang, Navneet Panda:
Formulating distance functions via the kernel trick. 703-709 - Ying Yang, Xindong Wu, Xingquan Zhu:
Combining proactive and reactive predictions for data streams. 710-715 - Hui Yang, Srinivasan Parthasarathy, Sameep Mehta:
A generalized framework for mining spatio-temporal patterns in scientific data. 716-721 - Li Yang:
Building connected neighborhood graphs for isometric data embedding. 722-728 - Osmar R. Zaïane, Mohammad El-Hajj:
Pattern lattice traversal by selective jumps. 729-735 - Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl:
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. 736-742 - Richard Cole, Dennis E. Shasha, Xiaojian Zhao:
Fast window correlations over uncooperative time series. 743-749
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 - 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 - Alex N. Kalos, Tim Rey:
Data mining in the chemical industry. 763-769 - 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 - Tao Li, Feng Liang, Sheng Ma, Wei Peng:
An integrated framework on mining logs files for computing system management. 776-781 - 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 - Ronald K. Pearson, Robert J. Kingan, Alan Hochberg:
Disease progression modeling from historical clinical databases. 788-793 - Valery A. Petrushin:
Mining rare and frequent events in multi-camera surveillance video using self-organizing maps. 794-800 - Rob Powers, Moisés Goldszmidt, Ira Cohen:
Short term performance forecasting in enterprise systems. 801-807 - Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli:
A multinomial clustering model for fast simulation of computer architecture designs. 808-813 - Haixun Wang, Jian Pei, Philip S. Yu:
Pattern-based similarity search for microarray data. 814-819
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