INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
One of the reasons behind maintaining any database is to enable the user to find interesting patterns and trends in the data. Frequent sets play an essential role in many data mining tasks that try to find interesting patterns from databases, such as association rules, correlations and clusters. The mining of association rules is one of the most popular of all these. The proposed algorithms is a useful for discovering customer purchasing patterns by extracting associations or co-occurrences from transactional databases. The idea behind the proposed algorithms is to examine the orders for products that have been purchased together. A store could use this information to place products frequently sold together into the same area. Direct marketers could use the sales tracking results to determine what new products to offer to their prior customers. The proposed algorithms offers efficiency and enhanced privacy with respect to the current leading protocols.
Keywords:
Privacy Preserving Data Mining; Frequent Itemsets; Association Rules.
Cite Article:
"Implementation of Enhanced Association Rule Mining on Horizontal Distributed Databases", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 4, page no.228 - 231, April-2017, Available :http://www.ijsdr.org/papers/IJSDR1704038.pdf
Downloads:
000337072
Publication Details:
Published Paper ID: IJSDR1704038
Registration ID:170196
Published In: Volume 2 Issue 4, April-2017
DOI (Digital Object Identifier):
Page No: 228 - 231
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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