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» Discovering Case Knowledge Using Data Mining
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ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 4 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
14 years 4 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
14 years 2 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
ICANN
2009
Springer
13 years 7 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
IJBIDM
2008
114views more  IJBIDM 2008»
13 years 10 months ago
Traffic mining in a road-network: How does the traffic flow?
: The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we und...
Irene Ntoutsi, Nikos Mitsou, Gerasimos Marketos