Visualizing method based on item sales records and its experimentation

Author

Hayashi, Yoshihiro ; Tsuji, Hiroshi ; Saga, Ryosuke

Author_Institution

Grad. Sch. of Eng., Osaka Prefecture Univ., Sakai, Japan

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

524

Lastpage

528

Abstract

A method for improving a visualized preference transition network by screening nodes in the network, where a node represents a product item, is described. The original preference transition network was developed not only for visualizing customer movements/trends in selecting items but also for finding the features of items. However, understanding such movements/trends and features is difficult when the network has many nodes and links. To solve this problem, the proposed method is a sensitivity analysis for identifying redundant nodes and links with adjustment of the threshold expressed by the Simpson coefficient. The effectiveness of this method was shown through a numerical experiment for 172 kinds of products, 2,227 customers, and their 90,000 sales records.

Keywords

data mining; data visualisation; sensitivity analysis; Simpson coefficient; data mining; data visualization; item sales records; network screening node; redundant node identification; sensitivity analysis; visualized preference transition network; visualizing method; Computer networks; Cybernetics; Data analysis; Data mining; Data visualization; Information analysis; Information filtering; Marketing and sales; Sensitivity analysis; USA Councils; Data Mining; Data Visualization; Information Filtering; Preference Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346868

Filename

5346868