7. KDD 2001:
San Francisco,
CA,
USA
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining,
August 26-29,
2001,
San Francisco,
CA,
USA. ACM,
2001
- Russ B. Altman:
Challenges for knowledge discovery in biology.
2
Electronic Edition (link) BibTeX
- Tom M. Mitchell:
Extracting targeted data from the web.
3
Electronic Edition (link) BibTeX
- Raghu Ramakrishnan:
Mass collaboration and data mining.
4
Electronic Edition (link) BibTeX
- Nitin Agrarwal:
Applications of generalized support vector machines to predictive modeling.
6
Electronic Edition (link) BibTeX
- Herb Edelstein:
Data mining: are we there yet?
7
Electronic Edition (link) BibTeX
- Ron Kohavi:
Mining e-commerce data: the good, the bad, and the ugly.
8-13
Electronic Edition (link) BibTeX
- Amir Netz:
Data mining platform for database developers.
14
Electronic Edition (link) BibTeX
- John Riedl:
Recommender systems in commerce and community.
15
Electronic Edition (link) BibTeX
- Zhiqiang Bi, Christos Faloutsos, Flip Korn:
The "DGX" distribution for mining massive, skewed data.
17-26
Electronic Edition (link) BibTeX
- Andreas Buja, Yung-Seop Lee:
Data mining criteria for tree-based regression and classification.
27-36
Electronic Edition (link) BibTeX
- Igor V. Cadez, Padhraic Smyth, Heikki Mannila:
Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction.
37-46
Electronic Edition (link) BibTeX
- Jens-Peter Dittrich, Bernhard Seeger:
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces.
47-56
Electronic Edition (link) BibTeX
- Pedro Domingos, Matt Richardson:
Mining the network value of customers.
57-66
Electronic Edition (link) BibTeX
- William DuMouchel, Daryl Pregibon:
Empirical bayes screening for multi-item associations.
67-76
Electronic Edition (link) BibTeX
- Glenn Fung, Olvi L. Mangasarian:
Proximal support vector machine classifiers.
77-86
Electronic Edition (link) BibTeX
- Jochen Garcke, Michael Griebel:
Data mining with sparse grids using simplicial basis functions.
87-96
Electronic Edition (link) BibTeX
- Geoff Hulten, Laurie Spencer, Pedro Domingos:
Mining time-changing data streams.
97-106
Electronic Edition (link) BibTeX
- Eser Kandogan:
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates.
107-116
Electronic Edition (link) BibTeX
- Eamonn J. Keogh, Selina Chu, Michael J. Pazzani:
Ensemble-index: a new approach to indexing large databases.
117-125
Electronic Edition (link) BibTeX
- Edwin M. Knorr, Raymond T. Ng, Ruben H. Zamar:
Robust space transformations for distance-based operations.
126-135
Electronic Edition (link) BibTeX
- Stefan Kramer, Luc De Raedt, Christoph Helma:
Molecular feature mining in HIV data.
136-143
Electronic Edition (link) BibTeX
- Bing Liu, Yiming Ma, Philip S. Yu:
Discovering unexpected information from your competitors' web sites.
144-153
Electronic Edition (link) BibTeX
- Balaji Padmanabhan, Zhiqiang Zheng, Steven Orla Kimbrough:
Personalization from incomplete data: what you don't know can hurt.
154-163
Electronic Edition (link) BibTeX
- Dmitry Pavlov, Padhraic Smyth:
Probabilistic query models for transaction data.
164-173
Electronic Edition (link) BibTeX
- David M. Pennock, Steve Lawrence, Finn Årup Nielsen, C. Lee Giles:
Extracting collective probabilistic forecasts from web games.
174-183
Electronic Edition (link) BibTeX
- Agma J. M. Traina, Caetano Traina Jr., Spiros Papadimitriou, Christos Faloutsos:
Tri-plots: scalable tools for multidimensional data mining.
184-193
Electronic Edition (link) BibTeX
- Cheng Yang, Usama M. Fayyad, Paul S. Bradley:
Efficient discovery of error-tolerant frequent itemsets in high dimensions.
194-203
Electronic Edition (link) BibTeX
- Bianca Zadrozny, Charles Elkan:
Learning and making decisions when costs and probabilities are both unknown.
204-213
Electronic Edition (link) BibTeX
- Richard Adderley, Peter B. Musgrove:
Data mining case study: modeling the behavior of offenders who commit serious sexual assaults.
215-220
Electronic Edition (link) BibTeX
- Charu C. Aggarwal:
A human-computer cooperative system for effective high dimensional clustering.
221-226
Electronic Edition (link) BibTeX
- Charu C. Aggarwal, Srinivasan Parthasarathy:
Mining massively incomplete data sets by conceptual reconstruction.
227-232
Electronic Edition (link) BibTeX
- Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh:
Evaluating the novelty of text-mined rules using lexical knowledge.
233-238
Electronic Edition (link) BibTeX
- Alina Beygelzimer, Chang-Shing Perng, Sheng Ma:
Fast ordering of large categorical datasets for better visualization.
239-244
Electronic Edition (link) BibTeX
- Ella Bingham, Heikki Mannila:
Random projection in dimensionality reduction: applications to image and text data.
245-250
Electronic Edition (link) BibTeX
- Doina Caragea, Dianne Cook, Vasant Honavar:
Gaining insights into support vector machine pattern classifiers using projection-based tour methods.
251-256
Electronic Edition (link) BibTeX
- Chien Chin Chen, Meng Chang Chen, Yeali S. Sun:
PVA: a self-adaptive personal view agent system.
257-262
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- Inderjit S. Dhillon:
Co-clustering documents and words using bipartite spectral graph partitioning.
269-274
Electronic Edition (link) BibTeX
- Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha:
A spectral method to separate disconnected and nearly-disconnected web graph components.
275-280
Electronic Edition (link) BibTeX
- David Harel, Yehuda Koren:
Clustering spatial data using random walks.
281-286
Electronic Edition (link) BibTeX
- Nitin Indurkhya, Sholom M. Weiss:
Solving regression problems with rule-based ensemble classifiers.
287-292
Electronic Edition (link) BibTeX
- Wen Jin, Anthony K. H. Tung, Jiawei Han:
Mining top-n local outliers in large databases.
293-298
Electronic Edition (link) BibTeX
- Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo:
Generalized clustering, supervised learning, and data assignment.
299-304
Electronic Edition (link) BibTeX
- Diane Lambert, José C. Pinheiro:
Mining a stream of transactions for customer patterns.
305-310
Electronic Edition (link) BibTeX
- Aleksandar Lazarevic, Zoran Obradovic:
The distributed boosting algorithm.
311-316
Electronic Edition (link) BibTeX
- Dekang Lin, Patrick Pantel:
Induction of semantic classes from natural language text.
317-322
Electronic Edition (link) BibTeX
- Dekang Lin, Patrick Pantel:
DIRT @SBT@discovery of inference rules from text.
323-328
Electronic Edition (link) BibTeX
- Bing Liu, Wynne Hsu, Yiming Ma:
Identifying non-actionable association rules.
329-334
Electronic Edition (link) BibTeX
- Bing Liu, Wynne Hsu, Yiming Ma:
Discovering the set of fundamental rule changes.
335-340
Electronic Edition (link) BibTeX
- Heikki Mannila, Marko Salmenkivi:
Finding simple intensity descriptions from event sequence data.
341-346
Electronic Edition (link) BibTeX
- Jonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart:
Data filtering for automatic classification of rocks from reflectance spectra.
347-352
Electronic Edition (link) BibTeX
- Yasuhiko Morimoto:
Mining frequent neighboring class sets in spatial databases.
353-358
Electronic Edition (link) BibTeX
- Nikunj C. Oza, Stuart J. Russell:
Experimental comparisons of online and batch versions of bagging and boosting.
359-364
Electronic Edition (link) BibTeX
- Petteri Sevon, Hannu Toivonen, Vesa Ollikainen:
TreeDT: gene mapping by tree disequilibrium test.
365-370
Electronic Edition (link) BibTeX
- Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
Detecting graph-based spatial outliers: algorithms and applications (a summary of results).
371-376
Electronic Edition (link) BibTeX
- W. Nick Street, YongSeog Kim:
A streaming ensemble algorithm (SEA) for large-scale classification.
377-382
Electronic Edition (link) BibTeX
- Geoffrey I. Webb:
Discovering associations with numeric variables.
383-388
Electronic Edition (link) BibTeX
- Kenji Yamanishi, Jun-ichi Takeuchi:
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner.
389-394
Electronic Edition (link) BibTeX
- Jiong Yang, Wei Wang, Philip S. Yu:
Infominer: mining surprising periodic patterns.
395-400
Electronic Edition (link) BibTeX
- Zijian Zheng, Ron Kohavi, Llew Mason:
Real world performance of association rule algorithms.
401-406
Electronic Edition (link) BibTeX
- Chidanand Apté, E. Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson:
Segmentation-based modeling for advanced targeted marketing.
408-413
Electronic Edition (link) BibTeX
- Pavel Berkhin, Jonathan D. Becher, Dee Jay Randall:
Interactive path analysis of web site traffic.
414-419
Electronic Edition (link) BibTeX
- Piew Datta, James Drew, Andrew Betz, D. R. Mani, Jeffery Howard:
Estimating business targets.
420-425
Electronic Edition (link) BibTeX
- Charles Elkan:
Magical thinking in data mining: lessons from CoIL challenge 2000.
426-431
Electronic Edition (link) BibTeX
- Edgar Hotz, Udo Grimmer, W. Heuser, Gholamreza Nakhaeizadeh, M. Wieczorek:
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry.
432-437
Electronic Edition (link) BibTeX
- Christoph Hueglin, Francesco Vannotti:
Data mining techniques to improve forecast accuracy in airline business.
438-442
Electronic Edition (link) BibTeX
- Hang Li, Kenji Yamanishi:
Mining from open answers in questionnaire data.
443-449
Electronic Edition (link) BibTeX
- Teresa Mah, Hank Hoek, Ying Li:
Funnel report mining for the MSN network.
450-455
Electronic Edition (link) BibTeX
- Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan:
Evaluation of prediction models for marketing campaigns.
456-461
Electronic Edition (link) BibTeX
- W. Scott Spangler, Jeffrey T. Kreulen:
Knowledge base maintenance using knowledge gap analysis.
462-466
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- Qiang Yang, Henry Haining Zhang, Ian Tian Yi Li:
Mining web logs for prediction models in WWW caching and prefetching.
473-478
Electronic Edition (link) BibTeX
Copyright © Wed Jun 4 18:46:16 2008
by Michael Ley (ley@uni-trier.de)
