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Logic Based Pattern Discovery Using Proportional Integrated Derivative Rule Set
ISSN: 2195-1381
Publisher: publisher
Logic Based Pattern Discovery Using Proportional Integrated Derivative Rule Set
Indexed in
Technology and Engineering
ASI-FACTOR
1.3
Journal Basics Score: 3
Journal Transparency Score: 3
Journal Operation Score: 2
Journal Articles Score: 3
Journal Accessibility Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: German Science And Technology Press
Publication Center:
eISSN
:
2195-1381
Scope
In recent years, the usage of digital data is accessible effectively among the set of users. to accomplish the diverse set of knowledgeable tasks, a significant amount of data mining techniques have been utilized. these methods contain frequent itemset mining, sequential pattern mining, association rule mining, maximum pattern mining, and blocked pattern mining. most of the approaches are proposed for the reason of mounting efficient mining algorithms to discover the set of patterns with a rational and suitable time frame. with the set of patterns produced by data mining approaches, the process of employing and informing these patterns is still an open research issue. in this paper, we focus on the improvement of a pattern discovery process to successfully employ and revise the discovered patterns based on proportional integrated derivative rule set [pid].
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