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