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» Finding Groups in Data: Cluster Analysis with Ants
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ISCAPDCS
2003
15 years 1 months ago
Efficient Data Allocation for a Cluster of Workstations
The development and use of cluster based computing is increasingly becoming an effective approach for solving high performance computing problems. The trend of moving away from sp...
Ahmed M. Mohamed, Reda A. Ammar, Lester Lipsky
COMPLIFE
2006
Springer
15 years 3 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
15 years 6 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
HICSS
2002
IEEE
101views Biometrics» more  HICSS 2002»
15 years 4 months ago
Groupware Case Studies: Electronic Meeting Systems in the Work Place
This paper presents data collected from 5 real-world (federal, state and commercial) groups as they undertook their real-world (Business Process Reengineering (BPR) and Joint Appl...
Gail Corbitt, Ben Martz
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 7 days ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...