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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
14 years 4 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 4 months ago
Keyword Generation for Search Engine Advertising
Keyword3 generation for search engine advertising is an important problem for sponsored search or paidplacement advertising. A recent strategy in this area is bidding on nonobviou...
Amruta Joshi, Rajeev Motwani
PAKDD
2005
ACM
146views Data Mining» more  PAKDD 2005»
14 years 3 months ago
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
PAKDD
2005
ACM
134views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
Abstract. Bayesian spam filters, in general, compute probability estimations for tokens either without considering the email areas of occurrences except the body or treating the s...
Raju Shrestha, Yaping Lin
ICCS
2004
Springer
14 years 3 months ago
Iceberg Query Lattices for Datalog
In this paper we study two orthogonal extensions of the classical data mining problem of mining association rules, and show how they naturally interact. The first is the extension...
Gerd Stumme