International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 5, May 2014 Edition [ISSN 2250-3153]


Association Rules Mining for Business Intelligence
      Rashmi Jha
Abstract: Business Intelligence (BI) is any information derived from analytics of existing data that can be used strategically in the organization. Data Mining is a subset of BI or a means/process of deriving BI from data using statistical modeling of the data. It can be used to find relationships/correlations between the various data elements captured which can be used to improve business performance or at least understand what is happening better. With the rapid exponential growth in size and number of available Databases in commercial, industrial, administrative and other applications, it is mandatory and important to examine how to extract knowledge from voluminous data. Mining Association rules in transactional or relational databases has recently attracted a lot of attention in database communities. The task is to derive a set of strong association rules in the form of “A1^….^ m=>B1^…^Bm” where Ai(for i €{1,2,.....m}) and Bi(for j € {1,2,.....,n}) are set of attribute-values, from the relevant data sets in a databases.

Reference this Research Paper (copy & paste below code):

Rashmi Jha (2018); Association Rules Mining for Business Intelligence; Int J Sci Res Publ 4(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0514.php?rp=P292721
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