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» Techniques of Cluster Algorithms in Data Mining
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CORR
2011
Springer
208views Education» more  CORR 2011»
14 years 9 months ago
GRASP and path-relinking for Coalition Structure Generation
In Artificial Intelligence with Coalition Structure Generation (CSG) one refers to those cooperative complex problems that require to find an optimal partition, maximising a soci...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
15 years 11 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
SNAM
2011
246views more  SNAM 2011»
14 years 8 months ago
Market basket analysis with networks
The field of market basket analysis, the search for meaningful associations in customer purchase data, is one of the oldest areas of data mining. The typical solution involves th...
Troy Raeder, Nitesh V. Chawla
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 2 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 8 months ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...