Output details
11 - Computer Science and Informatics
University of Portsmouth
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Article title
PMCRI: A Parallel Modular Classification Rule Induction Framework
Type
D - Journal article
Title of journal
Machine Learning and Data Mining in Pattern Recognition
Article number
-
Volume number
5632
Issue number
-
First page of article
148
ISSN of journal
0302-9743
Year of publication
2009
URL
-
Number of additional authors
2
Additional information
<15>This work is the first to introduce a parallel version of the PrismTCS algorithms that suffers from scalability issues for large datasets. Our implementation on a distributed network has shown that increasing the processors number outweighs the communication overhead. A project in pocket data mining in our School has implemented his technique on mobile phones. Several other researchers working on rule mining with genetic algorithm, and control of manufacturing processes – (University of Siegen, Germany), have also referred to our research.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-