Using association rules mining for sweet potato (Ipomoea batatas L.) in Slovenia: A case study

Author: Nataša Kunstelj 1, Dragan Žnidarčič2* and Branko Šter 3
Received 22 October 2012, accepted 26 January 2013.
Abstract

The study presented the association rule mining in order to analyse the knowledge about sweet potato (Ipomoea batatas L.) in Slovenia. For this study, web survey was carried out between 1st November to 31st December 2011. A questionnaire, which included 25 questions, was completed by 460 respondents from various parts of Slovenia. The goal was to find significant and interesting relations between the answers to the questions. We were mostly interested in which factors impact the knowledge about sweet potato, what are the relations between the answers to questions about sweet potato features and lastly about attitudes of people towards this vegetable. The methods applied were discovery of frequent item sets and association rule induction, which basically give us items or values of variables which frequently appear together and which can infer other items. A multitude of rules was obtained. Variables which mostly appear in the rules are: female gender, higher education, marital status, shopping in shopping centres, agricultural education, willingness to buy and/or grow sweet potato, willingness to attend a lecture about sweet potato, nutritional utility of sweet potato, tubers as useful parts of the plant, tuber colour red/rose/purple and healing diabetes. The obtained association rules are presented graphically.

Journal: Food, Agriculture and Environment (JFAE)
Print ISSN:1459-0255
Online ISSN: 1459-0263

Year: 2013, Vol. 11, Issue 1, pages 253-258.
Publisher: WFL.


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