Development of Supporting Sales Analysys Application Using Frequent Closed Constraint Gradient Mining Algorithm (FCCGM)
| Main Authors: | Limanto, Susana, Absari, Dhiani Tresna |
|---|---|
| Format: | Proceeding PeerReviewed application/pdf |
| Terbitan: |
, 2010
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| Subjects: | |
| Online Access: |
http://repository.ubaya.ac.id/3161/1/DHIANI_ICSIIT10.pdf http://repository.ubaya.ac.id/3161/ |
Daftar Isi:
- Making a promotion on certain items is as strategy to gain the competitive advantage in retail business. If a customer purchases item A for example, promotion on item A can be done by giving a bonus of item B, providing discount for item B, or any other form of promotions. At first glance, each kinds of promotion may decrease or even make harm the retail business. To avoid these 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 conjuction with particular items which appears to increase the average profit of that particular item. Based on this information, the sales volume of any particular item may be raised by making the particular item as a promotion item that must be sold together with certain set of items. The most common obstacles in getting information from sales data is the limited human ability to process large amounts of data efficiently. This research is proposed to help entrepreneurs 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 particular item using FCCGM algorithm