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» Distributed Data Clustering Can Be Efficient and Exact
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IJIIDS
2008
201views more  IJIIDS 2008»
15 years 6 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...
SEUS
2008
IEEE
16 years 1 months ago
Data Services in Distributed Real-Time Embedded Systems
The computing systems are becoming deeply embedded into ordinary life and interact with physical processes and events. They monitor the physical world with sensors and provide app...
Woochul Kang, Sang Hyuk Son
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
16 years 7 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
16 years 1 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
ICDE
2002
IEEE
138views Database» more  ICDE 2002»
16 years 8 months ago
Efficient Temporal Join Processing Using Indices
We examine the problem of processing temporal joins in the presence of indexing schemes. Previous work on temporal joins has concentrated on non-indexed relations which were fully...
Donghui Zhang, Vassilis J. Tsotras, Bernhard Seege...