Abstract Views :147 |
PDF Views:0
Authors
Affiliations
1 G. H. Raisoni College of Engineering and Management, Wagholi, Pune, IN
Source
International Journal of Engineering Research, Vol 5, No 7 (2016), Pagination: 630-634
Abstract
Now a day’s to speed up the software development process, use of recommendation systems plays important role while developing software by software developers. This paper presents EMI (Extended MI) technique which generates history-based recommendation systems following two approaches, one is by mining view histories and another by mining edit histories. Moreover it uses relevance feedback method to improve the accuracy of recommendation.
Keywords
Association Rules, Context Formation, Data Mining, Mining Programmer Interaction Histories, ROSE.
Full Text