شماره ركورد كنفرانس :
4768
عنوان مقاله :
Profit-based Frequent Itemset Mining in Market Basket Analysis
عنوان به زبان ديگر :
Profit-based Frequent Itemset Mining in Market Basket Analysis
پديدآورندگان :
Askari Javaran Taiebeh t.askari@bam.ac.ir Computer Engineering Department, Higher Education Complex of Bam, Iran. , Soltanian Amin aminsoltanian2017@gmail.com Computer Engineering Department, Higher Education Complex of Bam, Iran. , Derakhshan Fatemeh hbahar94@yahoo.com Computer Engineering Department, Higher Education Complex of Bam, Iran.
كليدواژه :
Market Basket Analyzing (MBA) , Profit , Retail , Transaction Data
عنوان كنفرانس :
اولين كنفرانس ملي كسب و كارهاي نوين و هوشمند داده كاوي و پردازش تصاوير
چكيده فارسي :
This paper proposes a method that discover the frequent item set which has the maximum profit. The proposed method is very fast with low computational complex. The purpose of this paper is to maximize the profit of retailer and suggestion an approach to guide the seller in order to arrange the product in shelves and rakes easily which customer be encourage to purchase more. The algorithm have been tested on a real dataset. Experimental results show the algorithm has good performance.
چكيده لاتين :
This paper proposes a method that discover the frequent item set which has the maximum profit. The proposed method is very fast with low computational complex. The purpose of this paper is to maximize the profit of retailer and suggestion an approach to guide the seller in order to arrange the product in shelves and rakes easily which customer be encourage to purchase more. The algorithm have been tested on a real dataset. Experimental results show the algorithm has good performance.
