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» Clustering in a Multi-Agent Data Mining Environment
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ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 1 months ago
Cross-Mining Binary and Numerical Attributes
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 1 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...
CLUSTER
2008
IEEE
14 years 1 months ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
EDM
2009
125views Data Mining» more  EDM 2009»
13 years 5 months ago
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collabo...
Antonio R. Anaya, Jesus Boticario
INTERNET
2006
157views more  INTERNET 2006»
13 years 7 months ago
Distributed Data Mining in Peer-to-Peer Networks
Distributed data mining deals with the problem of data analysis in environments with distributed data, computing nodes, and users. Peer-to-peer computing is emerging as a new dist...
Souptik Datta, Kanishka Bhaduri, Chris Giannella, ...