DocumentCode :
116079
Title :
Various mining techniques defined for mining product valuation instances in market basket data
Author :
Chavan, Ganesh ; Samal, Twinkle ; Palivela, H. ; Gaikwad, Nikhil ; Sonule, Avinash
Author_Institution :
Dept. of Comput. Eng., A.C. Patil Coll. of Eng., Navi Mumbai, India
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
For any successful launch of product, it should be properly reviewed. This is done by conducting a meeting in which various participants give their opinions, and depending upon those opinions decision is made. Firstly, it was given by Anvil tool, which was difficult to analyze. Also, commands such as propose, acknowledgement, negative response do not have a predefined notion which can differentiate them. So in proposed system, we are using Data mining algorithms to label the nodes which differentiate them from one another. Classification Based on Association (CBA) technique is used to give better mining results.
Keywords :
data mining; marketing data processing; pattern classification; Anvil tool; CBA technique; classification based on association technique; market basket data; mining techniques; opinions decision; product launch; valuation instance mining; Algorithm design and analysis; Association rules; Classification algorithms; Computers; Databases; Generators; Apriori; CAR (Classification Association Rule); CBA (Classification based on Association); FP Tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICGCCEE.2014.6921407
Filename :
6921407
Link To Document :
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