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以利潤為主要考量之多重最小支持度量化關聯規則 = Mining Quan...

鄭印良

以利潤為主要考量之多重最小支持度量化關聯規則 = Mining Quantitative Association Rules with Multiple Minimum Supports Based Mainly on Profits

紀錄類型:	書目-語言資料,印刷品 : 單行本
並列題名:	Mining Quantitative Association Rules with Multiple Minimum Supports Based Mainly on Profits
作者:	鄭印良,
其他作者:	楊達立,
其他團體作者:	國立虎尾科技大學
出版地:	雲林縣
出版者:	國立虎尾科技大學;
出版年:	民96[2007]
版本:	初版
面頁冊數:	50面圖,表 : 30公分;
標題:	ABC理論
標題:	ACB approach
電子資源:	http://140.130.12.251/ETD-db/ETD-search-c/view_etd?URN=etd-0703107-213708
摘要註:	一般關聯規則的特性主要是考慮商品在交易中的關聯性，使得與重要商品相關的關聯規則能被挖掘出來；而挖掘量化關聯規則的主要目的，則是從交易資料庫中找出大部分的客戶購買了哪些數量的商品，也會同時購買哪些數量的其他商品。但是，一般關聯規則沒有考慮商品被購買的數量，而量化關聯規則也沒有考慮到商品本身的利潤，因此如何同時考慮商品本身的利潤與其被購買的數量，成為本研究的議題。本論文主要應用分割演算法(Partition algorithm)將其資料量化，之後建立成P-tree的結構，再加上ABC理論及多支持度的概念，提出了一個新PMSFP-tree（Profit and Multiple minimum Supports Frequent Patterns tree）結構與PMSQFP-growth(Profit and Multiple minimum Supports QFP-growth)演算法。 Association rules takes an important role in Data Mining. By applying this technique, the relations between the data in a transaction database can be found, and then managers utilize the explored information to make decisions.The traditional association rules technique mostly focuses on the amount of trades, so that the goods with high profits and low sales volume will be neglected. This paper proposes a method using the concept of P-tree(Patterns tree), CFP-growth and QFP-growth. Subsequently, the common stock-checking method, ABC, is utilized to classify the goods so as to those goods with high profits and high support will be remained. Finally, the explored information will be much expected to conform to managers.By combining the concepts as mentioned above, a novel technique, PMSFP-tree (Profit and Multiple minimum Supports Frequent Patterns tree) and PMSQFP-growth (Profit and Multiple minimum Supports QFP-growth) is proposed in this paper. Experimental results demonstrate that our method can improve the drawbacks of CFP-growth. Besides, by taking account of trade profits, the mined results will be much respond to its actual facts.

以利潤為主要考量之多重最小支持度量化關聯規則 = Mining Quantitative Association Rules with Multiple Minimum Supports Based Mainly on Profits
鄭, 印良

以利潤為主要考量之多重最小支持度量化關聯規則 = Mining Quantitative Association Rules with Multiple Minimum Supports Based Mainly on Profits / 鄭印良撰 - 初版. - 雲林縣 : 國立虎尾科技大學, 民96[2007]. - 50面 ; 圖,表 ; 30公分.
ABC理論ACB approach

楊, 達立

以利潤為主要考量之多重最小支持度量化關聯規則 = Mining Quantitative Association Rules with Multiple Minimum Supports Based Mainly on Profits
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