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KDD
2000
ACM
137views Data Mining» more  KDD 2000»
13 years 7 months ago
Alpha seeding for support vector machines
Dennis DeCoste, Kiri Wagstaff
KDD
2000
ACM
117views Data Mining» more  KDD 2000»
13 years 7 months ago
Visualization of navigation patterns on a Web site using model-based clustering
Igor V. Cadez, David Heckerman, Christopher Meek, ...
KDD
2000
ACM
107views Data Mining» more  KDD 2000»
13 years 7 months ago
A general probabilistic framework for clustering individuals and objects
Igor V. Cadez, Scott Gaffney, Padhraic Smyth
KDD
2000
ACM
95views Data Mining» more  KDD 2000»
13 years 7 months ago
Hancock: a language for extracting signatures from data streams
Corinna Cortes, Kathleen Fisher, Daryl Pregibon, A...
KDD
2000
ACM
92views Data Mining» more  KDD 2000»
13 years 7 months ago
Hardening soft information sources
William W. Cohen, Henry A. Kautz, David A. McAlles...
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
13 years 7 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
13 years 7 months ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
KDD
2000
ACM
164views Data Mining» more  KDD 2000»
13 years 7 months ago
Agglomerative clustering of a search engine query log
Doug Beeferman, Adam L. Berger
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
13 years 7 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman