Biclustering the purchase transaction data for tea drinks
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- ISHIDA Yuma
- Kwansei Gakuin University
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- HAMURO Yukinobu
- Kwansei Gakuin University
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- MARUHASHI Hiroaki
- Kwansei Gakuin University
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- KATOH Naoki
- Kwansei Gakuin University
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- UNO Takeaki
- National Institute of Informatics
Bibliographic Information
- Other Title
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- 特保茶飲料に関する購買トランザクションのバイクラスタリング
- Extracting interesting patterns and its experimental evaluation in the real supermarket store
- 併買パターンの抽出と実店舗における実証実験
Description
<p>The objective of this paper is to show the case study about a knowledge discovery in the consumer behavior database, and test the effectiveness of the method, biclustering, in conducting an experimental evaluation at the real supermarket store. The biclustering we used consists of two core methods, bipartite graph polishing and maximal clique enumeration. The experiment of selling the specified health drinks with non-healthy foods showed high sales gain, but cannot be confirmed in other experiments. We learnt difficulty to implement the datamining results in real world, and get insight of the reasons.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2019 (0), 4B2J304-4B2J304, 2019
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390001288141815168
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- NII Article ID
- 130007658704
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed