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GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 1 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
DMG
2005
Springer
14 years 1 months ago
Framework for Querying Distributed Objects Managed by a Grid Infrastructure
Queries over scientific data often imply expensive analyses of data requiring a lot of computational resources available in Grids. We are developing a customizable query processor...
Ruslan Fomkin, Tore Risch
IEAAIE
2004
Springer
14 years 1 months ago
OIDM: Online Interactive Data Mining
Facilitated by the achievements of various data mining techniques, both academic research and industrial applications are using data mining tools to explore knowledge from various ...
Qijun Chen, Xindong Wu, Xingquan Zhu
IMTCI
2004
Springer
14 years 1 months ago
Intelligent Data Integration Middleware Based on Updateable Views
We present a new approach to the grid technology that is based on updateable views. Views are used in two ways: (1) as wrappers of local servers that adopt local schemata to the fe...
Hanna Kozankiewicz, Krzysztof Stencel, Kazimierz S...
SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
13 years 12 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini