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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 4 days ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 25 days ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
IWANN
2009
Springer
14 years 2 months ago
Data Mining in Complex Diseases Using Evolutionary Computation
Abstract. A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on Genetic Algorithms, a tech...
Vanessa Aguiar, Jose A. Seoane, Ana Freire, Cristi...
JCDL
2006
ACM
172views Education» more  JCDL 2006»
14 years 1 months ago
A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE
Document clustering has been used for better document retrieval, document browsing, and text mining in digital library. In this paper, we perform a comprehensive comparison study ...
Illhoi Yoo, Xiaohua Hu
JDCTA
2010
266views more  JDCTA 2010»
13 years 2 months ago
Clustering Based Multi-Objective Rule Mining using Genetic Algorithm
Ali Hadian, Mahdi Nasiri, Behrouz Minaei-Bidgoli