Market Basket Analysis with Data Mining methods

Author

Trnka, Andrej

Author_Institution

Dept. of Appl. Inf., Univ. of SS. Cyril & Methodius, Trnava, Slovakia

fYear

2010

fDate

11-12 June 2010

Firstpage

446

Lastpage

450

Abstract

This paper describes the way of Market Basket Analysis implementation to Six Sigma methodology. Data Mining methods provide a lot of opportunities in the market sector. Basket Market Analysis is one of them. Six Sigma methodology uses several statistical methods. With implementation of Market Basket Analysis (as a part of Data Mining) to Six Sigma (to one of its phase), we can improve the results and change the Sigma performance level of the process. In our research we used GRI (General Rule Induction) algorithm to produce association rules between products in the market basket. These associations show a variety between the products. To show the dependence between the products we used a Web plot. The last algorithm in analysis was C5.0. This algorithm was used to build rule-based profiles.

Keywords

data mining; marketing data processing; six sigma (quality); statistical analysis; data mining method; general rule induction algorithm; market basket analysis; six sigma methodology; statistical methods; Association rules; Data analysis; Data mining; Informatics; Information analysis; Information technology; Performance analysis; Problem-solving; Six sigma; Statistical analysis; CRISPDM; Data Mining; Market Basket; Six Sigma;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking and Information Technology (ICNIT), 2010 International Conference on

Conference_Location

Manila

Print_ISBN

978-1-4244-7579-7

Electronic_ISBN

978-1-4244-7578-0

Type

conf

DOI

10.1109/ICNIT.2010.5508476

Filename

5508476