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DOI: 10.14569/IJARAI.2014.030901
PDF

An Inference Mechanism Framework for Association Rule Mining

Author 1: Kapil Chaturvedi
Author 2: Dr. Ravindra Patel
Author 3: Dr. D.K. Swami

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 3 Issue 9, 2014.

  • Abstract and Keywords
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Abstract: Available approaches for Association Rule Mining (ARM) generates a large number of association rules, these rules may be trivial and redundant and also such rules are difficult to manage and understand for the users. If we consider their complexity, then it consumes lots of time and memory. Sometimes decision making is impossible for such kinds of association rules. An inference approach is required to resolve this kind of problem and to produce an interesting knowledge for the user. In this paper, we present an inference mechanism framework for ARM, which would be capable enough for resolving such problems, it would also predict future possibilities using Markov predictor by analyzing available fact and inference rules.

Keywords: Inference rules; ARM; Knowledgebase; Expert System

Kapil Chaturvedi, Dr. Ravindra Patel and Dr. D.K. Swami, “An Inference Mechanism Framework for Association Rule Mining” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(9), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030901

@article{Chaturvedi2014,
title = {An Inference Mechanism Framework for Association Rule Mining},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2014.030901},
url = {http://dx.doi.org/10.14569/IJARAI.2014.030901},
year = {2014},
publisher = {The Science and Information Organization},
volume = {3},
number = {9},
author = {Kapil Chaturvedi and Dr. Ravindra Patel and Dr. D.K. Swami}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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