TITLE:
Discovering Complex Incomplete Periodic Patterns through Logical Derivations
AUTHORS:
Janusz R. Getta, Marcin Zimniak
KEYWORDS:
Periodic Pattern, Complex Periodic Pattern, Incomplete Periodic Pattern, Derivation Rules, Data Mining Algorithms
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.3 No.11,
November
20,
2015
ABSTRACT: Discovering complex and
incomplete periodic patterns in the logs of events is a complicated and time
consuming task. This work shows that it is possible to discover complex and
incomplete periodic patterns through finding simple patterns first and through logical
derivations of complex and incomplete patterns later on. The paper defines a
syntax and semantics of a class of periodic patterns that frequently occur in
the logs of events. A system of derivation rules proposed in the paper can be
used to transform a set of periodic patterns into a logically equivalent set of
patterns. The rules are used in the algorithms that derive complex and
incomplete periodic patterns. A prototype implementation of the algorithms that
discover complex and incomplete periodic patterns in the logs of events is
presented.