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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 7 months 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»
16 years 7 months 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»
16 years 7 months 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»
16 years 7 months 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»
16 years 7 months 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»
16 years 7 months ago
Finding surprising patterns in a time series database in linear time and space
Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Ch...
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 7 months ago
On the need for time series data mining benchmarks: a survey and empirical demonstration
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...
Eamonn J. Keogh, Shruti Kasetty
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier