Agribusiness and Information Management
- Volume 4 Issue 2
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- Pages.14-21
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- 2012
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- 2234-3075(pISSN)
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- 2288-7806(eISSN)
Analysis of Agrifood Purchasing Pattern Using Association Rule Mining - Case of the Seoul·Gyeonggido·Incheon in South Korea -
- Jo, Hyebin (College of Agriculture and Life Sciences Seoul National University) ;
- Choe, Young Chan (College of Agriculture and Life Sciences Seoul National University)
- Published : 2012.12.28
Abstract
Since the Free Trade Agreements (FTAs) with Chile, the EU, and the U.S., Korean agricultural produce markets have turned into a fierce competition landscape. Under these competitive circumstances, marketing is critical. The objective of the research presented herein is to understand the characteristics of customer preferences after locating trends of purchased items. So This research establishes sustainable strategies for Korean agricultural produce. This investigation used market-basket analysis techniques and panel data for its research. Market-basket analysis is a technique which attempts to find groups of items that are commonly found together. The results show that, for one year, processed food using wheat, processed marine products, and pork are commonly bought together and that yogurt and milk also are bought together. The characteristics of customers buying these items are 44 years old and live in a four-person household with two children. These customers do not live with their parents.
Keywords
- Association rule mining;
- Market basket analysis (MBA);
- agri.food product;
- purchasing behavior of South Korea