An Apriori based Algorithm for mining interesting patterns Using Conjunctive datasets

Pradeep Chouksey¹

1. Department of Computer Science, Technocrats Institute of Technology, Bhopal, India.

Correspondence should be addressed to: dr.pradeep.chouksey@gmail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.4 , Issue.5 , pp.31-36, Oct-2016

Online published on Oct 28, 2016

Copyright © Pradeep Chouksey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In artificial intelligence, knowledge representation is a combination of data structures and interpretive procedures that leads to knowledgeable behavior. Therefore, it is required to investigate such knowledge representation technique in which knowledge can be easily and efficiently represented in computer. For better result knowledge should be organized in better way. Hence, a structure for that knowledge is required. The knowledge representation techniques are divided in to two categories declarative and procedural .This research paper compares various declarative knowledge representation techniques and proves that predicate logic is a more efficient and more accurate knowledge representation scheme.

Key-Words / Index Term :
Knowledge Representation, Declarative Semantic Network, Frame, Predicate Logic.

References :
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