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ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
14 years 1 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
ESWA
2006
161views more  ESWA 2006»
13 years 7 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 7 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
COMAD
2008
13 years 8 months ago
CUM: An Efficient Framework for Mining Concept Units
Web is the most important repository of different kinds of media such as text, sound, video, images etc. Web mining is the process of applying data mining techniques to automatica...
Santhi Thilagam
BMCBI
2010
111views more  BMCBI 2010»
13 years 7 months ago
Protein sequences classification by means of feature extraction with substitution matrices
Background: This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used ...
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Ngu...