Paper Info
Title
DualRank: a dual-phase algorithm for optimal profit mining in retailing market
Abstract
We systematically propose a dual-phase algorithm, DualRank, to mine the optimal profit in retailing market. DualRank algorithm has two major phases which are called mining general profit phase and optimizing profit phase respectively. In the first phase, the novel sub-algorithm, ItemRank, integrates the random distribution of items into profit mining to improve the performance of item order. In the other phase, two novel optimizing sub-algorithms are proposed to ameliorating results generated in the first phase. According to the cross-selling effect and the self-profit of items, DualRank algorithm could solve the problem of item order objectively and mechanically. We conduct detailed experiments to evaluate DualRank algorithm and experiment result confirms that the new method has an excellent ability for profit mining and the performance meets the condition which requires better quality and efficiency.
Year
DOI
Venue
2005
10.1007/11596370_17
ASIAN
Keywords
Field
DocType
optimizing profit phase,optimal profit,dualrank algorithm,novel sub-algorithm,dual-phase algorithm,general profit phase,optimal profit mining,item order,major phase,retailing market,ameliorating result,profit mining,profitability
Computer science,Algorithm,Association rule learning,Execution time
Conference
ISBN
Citations 
PageRank 
3-540-30767-2
0
0.34
References 
Authors
12
4
Name
Order
Citations
PageRank
Xiujuan Xu14410.82
Lifeng Jia21007.35
Zhe Wang341.44
Chunguang Zhou454352.37