Title :
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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346868
