PROCEEDINGS IPMU '08
Mining Interesting Periodicities of Temporal Patterns
Anjana Kakoti Mahanta, Hung Son Nguyen.
Data mining also known as knowledge
discovery from datasets has been
recognized as an important area of
database research. This area can be
defined as efficiently discovering
interesting patterns from large data
sets. In this paper a generic method has
been proposed to extract interesting
periodicities of patterns from large
datasets where the transactions in the
data sets are associated with patterns
and time intervals in which the patterns
hold. Considering the hierarchy
associated with time stamps of the form
day-date-hour-minutes-seconds,
different types of periodic patterns such
as daily, weekly, monthly patterns can
be extracted.
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