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KDD
2002
ACM
119views Data Mining» more  KDD 2002»
15 years 25 days ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka
KDD
2002
ACM
175views Data Mining» more  KDD 2002»
15 years 25 days ago
Mining product reputations on the Web
Knowing the reputations of your own and/or competitors' products is important for marketing and customer relationship management. It is, however, very costly to collect and a...
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi,...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
15 years 25 days ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
15 years 25 days ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
15 years 25 days ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho
KDD
2002
ACM
137views Data Mining» more  KDD 2002»
15 years 25 days ago
Clustering seasonality patterns in the presence of errors
Mahesh Kumar, Nitin R. Patel, Jonathan Woo
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 25 days ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
15 years 25 days ago
Finding surprising patterns in a time series database in linear time and space
Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Ch...