Application of Association rule Mining for Waste Heat Recovery Boiler

Author:
1NEERAJ BHARGAVA, 2ATIF AZIZ and 3RAMESH PRASAD AHARWAL
Affiliation:

1Associate. Prof., Department of Computer Science, MDS University Ajmer (INDIA)
2Research Scholar NIMS University
3Asstt. Prof., Department of mathematics, Govt. P.G. College, Damoh (M.P.) (INDIA)

Keyword:
Data Mining, Association Rule, KDD, WEKA
Issue Date:
August 2014
Abstract:

Data mining is a technique for discovering positive information from huge databases. This technique is currently being beneficially used by a number of industries. A common approach for information discovery is to identify association rules which make known relationships among different items. Our aim is to obtain association rules among various attributes of mechanical data. Entire database was used to obtain these association rules. This paper presents an application of Association Rule mining to discover precious association rules for data obtained from mechanical industry. The data used in this is of waste heat recovery boiler used in a fertilizer industry. In India only alittle work is done on mining of mechanical industrial data. In this paper we have used Apriori Algorithm with WEKA data mining tool.

Pages:
ISSN:
2319-8052 (Online) - 2231-3478 (Print)
Source:
DOI:
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Copy the following to cite this article:

1NEERAJ BHARGAVA, 2ATIF AZIZ and 3RAMESH PRASAD AHARWAL, "Application of Association rule Mining for Waste Heat Recovery Boiler", Journal of Ultra Scientist of Physical Sciences, Volume 26, Issue 2, Page Number , 2016

Copy the following to cite this URL:

1NEERAJ BHARGAVA, 2ATIF AZIZ and 3RAMESH PRASAD AHARWAL, "Application of Association rule Mining for Waste Heat Recovery Boiler", Journal of Ultra Scientist of Physical Sciences, Volume 26, Issue 2, Page Number , 2016

Available from: http://ultraphysicalsciences.org/paper/386/

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