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AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
14 years 2 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
BMCBI
2008
95views more  BMCBI 2008»
13 years 8 months ago
Mining protein networks for synthetic genetic interactions
Background: The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its e...
Sri R. Paladugu, Shan Zhao, Animesh Ray, Alpan Rav...
IIWAS
2008
13 years 9 months ago
Supporting mobile payment QOS by data mining GSM network traffic
In mobile commerce, short-message-service (SMS) is an important technique for delivering payment instruction. A payment model "SMS Credit" was proposed earlier [1]. Such...
Edison Lai, Simon Fong, Yang Hang
DMIN
2006
115views Data Mining» more  DMIN 2006»
13 years 9 months ago
Data Mining Techniques to Study Therapy Success with Autistic Children
Autism spectrum disorder has become one of the most prevalent developmental disorders, characterized by a wide variety of symptoms. Many children need extensive therapy for years t...
Gondy Leroy, Annika Irmscher, Marjorie H. Charlop-...