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DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 8 months ago
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...
Alina Campan, Gabriela Serban, Traian Marius Truta...
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 8 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
HAIS
2008
Springer
15 years 7 months ago
Using CBR Systems for Leukemia Classification
The continuous advances in genomics, and specifically in the field of transcriptome, require novel computational solutions capable of dealing with great amounts of data. Each expre...
Juan M. Corchado, Juan Francisco de Paz
BMCBI
2010
129views more  BMCBI 2010»
15 years 6 months ago
LAITOR - Literature Assistant for Identification of Terms co-Occurrences and Relationships
Background: Biological knowledge is represented in scientific literature that often describes the function of genes/ proteins (bioentities) in terms of their interactions (biointe...
Adriano Barbosa-Silva, Theodoros G. Soldatos, Ivan...
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
16 years 4 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...