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ITRE
2005
IEEE
14 years 2 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
CMMR
2004
Springer
110views Music» more  CMMR 2004»
14 years 2 months ago
A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems
Abstract. In this paper, we present an approach for musical artist recommendation based on Self-Organizing Maps (SOMs) of artist reviews from Amazon web site. The Amazon reviews fo...
Shankar Vembu, Stephan Baumann
INDOCRYPT
2004
Springer
14 years 2 months ago
Information Theory and the Security of Binary Data Perturbation
Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting informa...
Poorvi L. Vora
ADBIS
2000
Springer
111views Database» more  ADBIS 2000»
14 years 1 months ago
Discovering Frequent Episodes in Sequences of Complex Events
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
Marek Wojciechowski
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
14 years 18 days ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani