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» A Generic and Extendible Multi-Agent Data Mining Framework
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IFIP12
2008
13 years 6 months ago
Agent Based Frequent Set Meta Mining: Introducing EMADS
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...
Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
IJIIDS
2008
201views more  IJIIDS 2008»
13 years 4 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
FGCS
2007
160views more  FGCS 2007»
13 years 4 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
SEKE
2005
Springer
13 years 10 months ago
A Reuse-based Spatial Data Preparation Framework for Data Mining
The constant increase in use of geographic data in different application domains has resulted in large amounts of data stored in spatial databases and in the desire of data mining....
Vania Bogorny, Paulo Martins Engel, Luis Otá...
BPM
2006
Springer
109views Business» more  BPM 2006»
13 years 8 months ago
A Generic Import Framework for Process Event Logs
Abstract. The application of process mining techniques to real-life corporate environments has been of an ad-hoc nature so far, focused on proving the concept. One major reason for...
Christian W. Günther, Wil M. P. van der Aalst