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INFORMATICALT
2008
196views more  INFORMATICALT 2008»
14 years 12 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
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
15 years 6 months ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
ICTAI
2007
IEEE
15 years 6 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...
ANSS
2006
IEEE
15 years 5 months ago
USim: A User Behavior Simulation Framework for Training and Testing IDSes in GUI Based Systems
Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...
Ashish Garg, Vidyaraman Sankaranarayanan, Shambhu ...
KDD
2003
ACM
114views Data Mining» more  KDD 2003»
16 years 7 days ago
Information awareness: a prospective technical assessment
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
David Jensen, Matthew J. Rattigan, Hannah Blau