Collective intelligence-based sequential pattern mining approach for marketing data

Kazuaki Tsuboi, Kosuke Shinoda, Hirohiko Suwa, Satoshi Kurihara

研究成果: Conference contribution

抄録

It is important to understand consumer needs correctly and clarify target of goods and service in marketing. In recent years, as information processing technology develops, video image analysis also has become as important tool for customer behavior analysis. It is said that discovering consumers’ purchase patterns of choosing purchased goods may be possible by using video data. Video is sequential temporal data, so time-series data mining technique is necessary. And generally consumer behavior is ambiguous. To respond to these situation, we are now developing a collective intelligence-based sequential pattern mining approach with high robustness and adaptability, and this time, we have succeeded in visualizing the relation of goods that they are continuously touched up by consumer.

本文言語English
ホスト出版物のタイトルSocial Informatics - SocInfo 2014 International Workshops, Revised Selected Papers
編集者Daniel McFarland, Luca Maria Aiello
出版社Springer Verlag
ページ353-361
ページ数9
ISBN(電子版)9783319151670
DOI
出版ステータスPublished - 2015 1 1
外部発表はい
イベント6th International Conference on Social Informatics, SocInfo 2014 - Barcelona, Spain
継続期間: 2014 11 102014 11 13

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)
8852
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other6th International Conference on Social Informatics, SocInfo 2014
国/地域Spain
CityBarcelona
Period14/11/1014/11/13

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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