Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms

A Kotni, R Uday Kiran, M Toyoda… - Big Data Analytics and …, 2018 - Springer
Efficient discovery of interesting patterns using parallel algorithms is an actively studied topic
in data mining. A key research issue related to this topic is data segmentation, which
influences the overall computational requirements of an algorithm. This paper makes an
effort to address this issue in correlated pattern mining. Two novel data segmentation
techniques,'database segmentation'and 'transaction segmentation,'have been introduced to
discover the patterns efficiently. The former technique involves segmenting the database …

Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms

M Kitsuregawa - Big Data Analytics and Knowledge Discovery …, 2018 - books.google.com
Efficient discovery of interesting patterns using parallel algorithms is an actively studied topic
in data mining. A key research issue related to this topic is data segmentation, which
influences the overall computational requirements of an algorithm. This paper makes an
effort to address this issue in correlated pattern mining. Two novel data segmentation
techniques,'database segmentation'and 'transaction segmentation,'have been introduced to
discover the patterns efficiently. The former technique involves segmenting the database …
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