Profit-based Association Rule Mining from Commercial Transactions

Title
Profit-based Association Rule Mining from Commercial Transactions
Author(s)
이남희[이남희]정재은
Issue Date
201208
Publisher
INT INFORMATION INST
Citation
INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, v.15, no.8, pp.3469 - 3476
Abstract
Since various kinds of information systems have been introduced for managing market transactions, system managers can expect to apply information processing techniques for better performances (e.g., reducing costs, increasing profits and providing users with better services). To do so, many of the commerce systems have tried to apply association sale mining to efficiently conduct such management tasks. However, we have realized a problem on applying the existing association rule algorithms to the market transactions. Most of the rule mining schemes (e.g., Apriori algorithm) consider only the occurrences of the items by ignoring the profit of items. Thereby, we address a novel algorithm, profit-based association rule algorithm, to consider the relationship between the occurrence and the profit of each item during conducting data mining process. Through several experiments, we have shown that these optimization techniques can yield significant performance benefit.
URI
http://hdl.handle.net/YU.REPOSITORY/27499
ISSN
1343-4500
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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