應用資料探勘技術於農會超市之研究－以恆春鎭農會超市為例

The Application of Data Mining on the Farmer's Association Supermarket of Hengchun Township

蔡宗諺(Chung-Yen Tsai) ； 楊志平(Jyh-Ping Young) ； 陳仕偉(Shih-Wei Chen) ； 彭克仲(Ke-Chung Peng)

《台灣農學會報》 10卷4期 (2009/08) Pp. 272-285

https://doi.org/10.6730/JAAT.200908_10(4).0002

摘要

本文以資料探勘的技術探勘出2005年下半年恆春鎮農會超市經營項目中，銷售商品間之關聯性，從最大的分類項目到最小的分類項目中找出哪些商品是有關聯性。而研究結果顯示乾貨類、生鮮類與日用品類的商品以生鮮類的消費數為最多，因此大多數的關聯均與其相關，故農會超市應以生鮮類商品搭配有關聯性的其他類商品，以提升消費者的購買率與降低存貨量，達到改善農會超市目前的現況。

關鍵字

資料探勘 ； 關聯規則 ； 農會超市

並列摘要

This paper applied the Data Mining theory and the iData Analyzer software to see if there was a correlation between the sales products and the operating items of the Farmers' Association Supermarkets of Hengchun of the 2nd half 2005, and to seek out if products are related to others from the categories of the largest items to the smallest.
The research results showed that the freshness category has taken the highest consumer volume in comparison with the dried-food and daily commodity categories; except for the myriad types and items of the consumer products. However the consumer quantity of each item is quite small; there are correlations with dried-food, freshness and the daily commodities. After further treatment, we discovered that the freshness takes a larger percentage of sales volume, thus most correlations are related to it. The results of the study is that the Farmer's Supermarkets shall use the fresh goods to combine with the other categorical items in which they can be associated in order to promote the purchasing rate of the consumers and also decrease the stock volume, in order to assist in the improvement of current conditions of the Farmer's Association Supermarkets.

並列關鍵字

Data mining ； Association rule ； Farmers' association supermarket