Capturing Corporate Attributes in a New Perspective Through Fuzzy Clustering

Yusuke Matsumoto, Aiko Suge, Hiroshi Takahashi

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Although industrial classification plays an important role in various contexts, it is rarely questioned. However, as diversification and business transformation are ongoing, it is becoming difficult to recognize company’s real business. Therefore, there is not enough to allocate one type of business class to express the situation of the company, and a new type of industrial classification system is required. Through the analysis, we construct a new industrial classification system with Fuzzy C Means (FCM). This study also confirms the validity of proposed method through composite variance and absolute prediction error (APE). As the result, we present that there is a possibility that we are able to represent one company with overlapping industry, so to speak, assign one company more than two industries.

元の言語English
ホスト出版物のタイトルNew Frontiers in Artificial Intelligence - JSAI-isAI 2018 Workshops, JURISIN, AI-Biz, SKL, LENLS, IDAA, Revised Selected Papers
編集者Kazuhiro Kojima, Maki Sakamoto, Koji Mineshima, Ken Satoh
出版者Springer
ページ19-33
ページ数15
ISBN(印刷物)9783030316044
DOI
出版物ステータスPublished - 2019 1 1
イベント10th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2018 - Yokohama, Japan
継続期間: 2018 11 122018 11 14

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)
11717 LNAI
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference10th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2018
Japan
Yokohama
期間18/11/1218/11/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Matsumoto, Y., Suge, A., & Takahashi, H. (2019). Capturing Corporate Attributes in a New Perspective Through Fuzzy Clustering. : K. Kojima, M. Sakamoto, K. Mineshima, & K. Satoh (版), New Frontiers in Artificial Intelligence - JSAI-isAI 2018 Workshops, JURISIN, AI-Biz, SKL, LENLS, IDAA, Revised Selected Papers (pp. 19-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11717 LNAI). Springer. https://doi.org/10.1007/978-3-030-31605-1_2