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7th KDD 2001: San Francisco, CA, USA
- Doheon Lee, Mario Schkolnick, Foster J. Provost, Ramakrishnan Srikant:
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001. ACM 2001, ISBN 1-58113-391-X - Russ B. Altman:
Challenges for knowledge discovery in biology. 2 - Tom M. Mitchell:
Extracting targeted data from the web. 3 - Raghu Ramakrishnan:
Mass collaboration and data mining. 4 - Nitin Agrarwal:
Applications of generalized support vector machines to predictive modeling. 6 - Herb Edelstein:
Data mining: are we there yet? 7 - Ron Kohavi:
Mining e-commerce data: the good, the bad, and the ugly. 8-13 - Amir Netz:
Data mining platform for database developers. 14 - John Riedl:
Recommender systems in commerce and community. 15 - Zhiqiang Bi, Christos Faloutsos, Flip Korn:
The "DGX" distribution for mining massive, skewed data. 17-26 - Andreas Buja, Yung-Seop Lee:
Data mining criteria for tree-based regression and classification. 27-36 - Igor V. Cadez, Padhraic Smyth
, Heikki Mannila:
Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. 37-46 - Jens-Peter Dittrich, Bernhard Seeger:
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces. 47-56 - Pedro M. Domingos, Matthew Richardson:
Mining the network value of customers. 57-66 - William DuMouchel, Daryl Pregibon:
Empirical bayes screening for multi-item associations. 67-76 - Glenn Fung, Olvi L. Mangasarian:
Proximal support vector machine classifiers. 77-86 - Jochen Garcke
Data mining with sparse grids using simplicial basis functions. 87-96 - Geoff Hulten, Laurie Spencer, Pedro M. Domingos:
Mining time-changing data streams. 97-106 - Eser Kandogan:
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates. 107-116 - Eamonn J. Keogh, Selina Chu, Michael J. Pazzani:
Ensemble-index: a new approach to indexing large databases. 117-125 - Edwin M. Knorr, Raymond T. Ng, Ruben H. Zamar:
Robust space transformations for distance-based operations. 126-135 - Stefan Kramer, Luc De Raedt
Molecular feature mining in HIV data. 136-143 - Bing Liu, Yiming Ma, Philip S. Yu:
Discovering unexpected information from your competitors' web sites. 144-153 - Balaji Padmanabhan, Zhiqiang (Eric) Zheng, Steven Orla Kimbrough:
Personalization from incomplete data: what you don't know can hurt. 154-163 - Dmitry Pavlov, Padhraic Smyth
Probabilistic query models for transaction data. 164-173 - David M. Pennock, Steve Lawrence, Finn Årup Nielsen, C. Lee Giles
Extracting collective probabilistic forecasts from web games. 174-183 - Agma J. M. Traina, Caetano Traina Jr., Spiros Papadimitriou, Christos Faloutsos:
Tri-plots: scalable tools for multidimensional data mining. 184-193 - Cheng Yang, Usama M. Fayyad, Paul S. Bradley:
Efficient discovery of error-tolerant frequent itemsets in high dimensions. 194-203 - Bianca Zadrozny, Charles Elkan:
Learning and making decisions when costs and probabilities are both unknown. 204-213 - Richard Adderley, Peter B. Musgrove:
Data mining case study: modeling the behavior of offenders who commit serious sexual assaults. 215-220 - Charu C. Aggarwal:
A human-computer cooperative system for effective high dimensional clustering. 221-226 - Charu C. Aggarwal, Srinivasan Parthasarathy
Mining massively incomplete data sets by conceptual reconstruction. 227-232 - Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh:
Evaluating the novelty of text-mined rules using lexical knowledge. 233-238 - Alina Beygelzimer, Chang-Shing Perng, Sheng Ma:
Fast ordering of large categorical datasets for better visualization. 239-244 - Ella Bingham
Random projection in dimensionality reduction: applications to image and text data. 245-250 - Doina Caragea
Gaining insights into support vector machine pattern classifiers using projection-based tour methods. 251-256 - Chien Chin Chen, Meng Chang Chen, Yeali S. Sun:
PVA: a self-adaptive personal view agent system. 257-262 - Tom Chiu, DongPing Fang, John Chen, Yao Wang, Christopher Jeris:
A robust and scalable clustering algorithm for mixed type attributes in large database environment. 263-268 - Inderjit S. Dhillon:
Co-clustering documents and words using bipartite spectral graph partitioning. 269-274 - Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha:
A spectral method to separate disconnected and nearly-disconnected web graph components. 275-280 - David Harel, Yehuda Koren:
Clustering spatial data using random walks. 281-286 - Nitin Indurkhya, Sholom M. Weiss:
Solving regression problems with rule-based ensemble classifiers. 287-292 - Wen Jin, Anthony K. H. Tung
Mining top-n local outliers in large databases. 293-298 - Annaka Kalton, Pat Langley, Kiri Wagstaff
Generalized clustering, supervised learning, and data assignment. 299-304 - Diane Lambert, José C. Pinheiro:
Mining a stream of transactions for customer patterns. 305-310 - Aleksandar Lazarevic, Zoran Obradovic:
The distributed boosting algorithm. 311-316 - Dekang Lin, Patrick Pantel:
Induction of semantic classes from natural language text. 317-322 - Dekang Lin, Patrick Pantel:
DIRT @SBT@discovery of inference rules from text. 323-328 - Bing Liu, Wynne Hsu, Yiming Ma:
Identifying non-actionable association rules. 329-334 - Bing Liu, Wynne Hsu, Yiming Ma:
Discovering the set of fundamental rule changes. 335-340 - Heikki Mannila, Marko Salmenkivi:
Finding simple intensity descriptions from event sequence data. 341-346 - Jonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart:
Data filtering for automatic classification of rocks from reflectance spectra. 347-352 - Yasuhiko Morimoto:
Mining frequent neighboring class sets in spatial databases. 353-358 - Nikunj C. Oza, Stuart Russell:
Experimental comparisons of online and batch versions of bagging and boosting. 359-364 - Petteri Sevon, Hannu Toivonen, Vesa Ollikainen:
TreeDT: gene mapping by tree disequilibrium test. 365-370 - Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
Detecting graph-based spatial outliers: algorithms and applications (a summary of results). 371-376 - W. Nick Street, YongSeog Kim:
A streaming ensemble algorithm (SEA) for large-scale classification. 377-382 - Geoffrey I. Webb:
Discovering associations with numeric variables. 383-388 - Kenji Yamanishi, Jun'ichi Takeuchi:
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner. 389-394 - Jiong Yang, Wei Wang, Philip S. Yu:
Infominer: mining surprising periodic patterns. 395-400 - Zijian Zheng, Ron Kohavi, Llew Mason:
Real world performance of association rule algorithms. 401-406 - Chidanand Apté, Eric Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson:
Segmentation-based modeling for advanced targeted marketing. 408-413 - Pavel Berkhin, Jonathan D. Becher, Dee Jay Randall:
Interactive path analysis of web site traffic. 414-419 - Piew Datta, James Drew, Andrew Betz, D. R. Mani, Jeffery Howard:
Estimating business targets. 420-425 - Charles Elkan:
Magical thinking in data mining: lessons from CoIL challenge 2000. 426-431 - Edgar Hotz, Udo Grimmer, Wolfgang Heuser, Gholamreza Nakhaeizadeh, Michael Wieczorek:
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry. 432-437 - Christoph Hueglin
Data mining techniques to improve forecast accuracy in airline business. 438-442 - Hang Li, Kenji Yamanishi:
Mining from open answers in questionnaire data. 443-449 - Teresa Mah, Hank Hoek, Ying Li:
Funnel report mining for the MSN network. 450-455 - Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan:
Evaluation of prediction models for marketing campaigns. 456-461 - W. Scott Spangler, Jeffrey T. Kreulen:
Knowledge base maintenance using knowledge gap analysis. 462-466 - Doug Warner, J. Neal Richter, Stephen D. Durbin, Bikramjit Banerjee:
Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web. 467-472 - Qiang Yang, Henry Haining Zhang, Tianyi Li:
Mining web logs for prediction models in WWW caching and prefetching. 473-478
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