Development of Supporting Sales Analysis Application Using Frequent Closed Constraint Gradient Mining (FCCGM)

Limanto, Susana and Absari, Dhiani Tresna (2010) Development of Supporting Sales Analysis Application Using Frequent Closed Constraint Gradient Mining (FCCGM). In: Proceedings Intemational Conference on Soft Computing, Intelligent System and Information Technology 2010. Informatics Engineering Department Petra Christian University, Surabaya. ISBN 978-602-97!24-0-7

[img]
Preview
PDF
convert-jpg-to-pdf.net_2015-04-07_07-03-19.pdf

Download (457Kb) | Preview

Abstract

Making a promotion on certain item is a strategy to gain the competitive advantage in retail business. If a customer purchases an item A for example, promotion on item A can be done by giving a bonus on item B, providing discount on item B or any other form of promotions. At first glance each kind of promotions may decrease or harm the retail business. To avoid this conditions, the retail entrepreneur must be able to obtain proper information by mining their sales data. Information that can be gained is about set of items were purchased usually by customers in conjunction with particular items which appears to increase the average profit of that particular item. Based on this information, the sales volume of any particular items may be raised by making the particular as a promotion item that must be sold together with certain set of item. The most common obstacles in getting information from sales data is the limited human ability to process large amount of data efficiently. This research is proposed to help entrepreneur to simulate the retail sales data in generating information about the set of items that frequently purchases with a particular item which will increase the average profit of a particular item, using the FCCGM algorithm.

Item Type: Book Section
Uncontrolled Keywords: data mining, frequent closed constrained gradient mining sales analysis
Subjects: T Technology > T Technology (General)
Depositing User: Dhiani Tresna Apsari 61129
Date Deposited: 07 Apr 2015 07:57
Last Modified: 07 Apr 2015 07:57
URI: http://repository.ubaya.ac.id/id/eprint/23800

Actions (login required)

View Item View Item