slugMultiple Periodicity Detectionandpattern Mining In Time Series Database
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 4
Abstract
The time series database is analysed to retrieve the relevant patterns and to examine whether it is periodic in nature. Existing algorithms failed to generate flexible user interested patterns. Another drawback was the user defined period were required to mine the patterns. This paper introduces an algorithm which can mine the user interested pattern from the database in less time. The algorithm helps to provide user interest ed patterns quicklywithout wasting time in making decisions .
Authors and Affiliations
Vimal Vinod
Keywords
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- EP ID EP17949
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