Similarity of transactions for customer segmentation

研究成果: 著書/レポートタイプへの貢献会議での発言

抄録

Customer segmentation is usually the first step towards customer analysis and helps to make strategic plans for a company. Similarity between customers plays a key role in customer segmentation, and is usually evaluated by distance measures. While various distance measures have been proposed in data mining literature, the desirable distance measures for various data sources and given application domains are rarely known. One of the reasons lies in that semantic meaning of similarity and distance measures is usually ignored. This paper discusses several issues related to evaluating customer similarity based on their transaction data. Various set distance measures for customer segmentation are analyzed in several imaginary scenarios, and it is shown that each measure has different characteristics which make the measure useful for some application domains but not for others. We argue that no measure always performs better than other measures, and suitable measures should be adopted for specific purposes depending on applications.

元の言語英語
ホスト出版物のタイトルMultidisciplinary Research and Practice for Information Systems - IFIP WG 8.4, 8.9/TC 5 Int. Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Proceedings
ページ347-359
ページ数13
DOI
出版物ステータス出版済み - 9 6 2012
イベントInternational Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012 - Prague, チェコ共和国
継続期間: 8 20 20128 24 2012

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7465 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

その他

その他International Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012
チェコ共和国
Prague
期間8/20/128/24/12

Fingerprint

Transactions
Distance Measure
Segmentation
Customers
Data mining
Semantics
Similarity Measure
Similarity
Industry
Data Mining
Scenarios

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Lu, K., & Furukawa, T. (2012). Similarity of transactions for customer segmentation. : Multidisciplinary Research and Practice for Information Systems - IFIP WG 8.4, 8.9/TC 5 Int. Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Proceedings (pp. 347-359). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 7465 LNCS). https://doi.org/10.1007/978-3-642-32498-7_26

Similarity of transactions for customer segmentation. / Lu, Ke; Furukawa, Tetsuya.

Multidisciplinary Research and Practice for Information Systems - IFIP WG 8.4, 8.9/TC 5 Int. Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Proceedings. 2012. p. 347-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 7465 LNCS).

研究成果: 著書/レポートタイプへの貢献会議での発言

Lu, K & Furukawa, T 2012, Similarity of transactions for customer segmentation. : Multidisciplinary Research and Practice for Information Systems - IFIP WG 8.4, 8.9/TC 5 Int. Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 7465 LNCS, pp. 347-359, International Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Prague, チェコ共和国, 8/20/12. https://doi.org/10.1007/978-3-642-32498-7_26
Lu K, Furukawa T. Similarity of transactions for customer segmentation. : Multidisciplinary Research and Practice for Information Systems - IFIP WG 8.4, 8.9/TC 5 Int. Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Proceedings. 2012. p. 347-359. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-32498-7_26
Lu, Ke ; Furukawa, Tetsuya. / Similarity of transactions for customer segmentation. Multidisciplinary Research and Practice for Information Systems - IFIP WG 8.4, 8.9/TC 5 Int. Cross-Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Proceedings. 2012. pp. 347-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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