Sciweavers

7150 search results - page 787 / 1430
» Graph-Based Data Mining
Sort
View
CSDA
2006
100views more  CSDA 2006»
15 years 7 months ago
Identification of interaction patterns and classification with applications to microarray data
Emerging patterns represent a class of interaction structures which has been recently proposed as a tool in data mining. In this paper, a new and more general definition refering ...
Anne-Laure Boulesteix, Gerhard Tutz
177
Voted
JMS
2006
90views more  JMS 2006»
15 years 7 months ago
Healthcare Informatics Research: From Data to Evidence-Based Management
Healthcare informatics research is a scientific endeavor that applies information science, computer technology, and statistical modeling techniques to develop decision support syst...
Thomas T. H. Wan
194
Voted
KAIS
2007
75views more  KAIS 2007»
15 years 7 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 7 months ago
DOULION: counting triangles in massive graphs with a coin
Counting the number of triangles in a graph is a beautiful algorithmic problem which has gained importance over the last years due to its significant role in complex network analy...
Charalampos E. Tsourakakis, U. Kang, Gary L. Mille...
234
Voted
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 7 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa