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KDD
1998
ACM
181views Data Mining» more  KDD 1998»
15 years 12 months ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley
KDD
1997
ACM
104views Data Mining» more  KDD 1997»
15 years 11 months ago
An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases
Efficient discover of association rules in large databases is a we 1 studied problem and several ap-1y proaches have been proposed. However, it is non trivial to maintain the asso...
Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, S...
KDD
1994
ACM
104views Data Mining» more  KDD 1994»
15 years 11 months ago
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools
The multistrategy knowledge discovery tool, INLEN, is applied to databases consisting of economic and demographic facts and statistics about the countries of the world. Preliminar...
Kenneth A. Kaufman
CEC
2007
IEEE
15 years 11 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
ICDM
2007
IEEE
154views Data Mining» more  ICDM 2007»
15 years 11 months ago
Cocktail Ensemble for Regression
This paper is motivated to improve the performance of individual ensembles using a hybrid mechanism in the regression setting. Based on an error-ambiguity decomposition, we formal...
Yang Yu, Zhi-Hua Zhou, Kai Ming Ting