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KDD
1998
ACM
181views Data Mining» more  KDD 1998»
13 years 9 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
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 4 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
13 years 6 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
ICTAI
2007
IEEE
13 years 11 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
JMLR
2010
108views more  JMLR 2010»
12 years 11 months ago
Mining Recurring Concept Drifts with Limited Labeled Streaming Data
Pei-Pei Li, Xindong Wu, Xuegang Hu