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Study of Selection of Model and Proposal of New Method Considering Attribute of Large Complex Data

Research Project

Project/Area Number 16K00052
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Statistical science
Research InstitutionTokyo Metropolitan University

Principal Investigator

Nakayama Atsuho  首都大学東京, 経営学研究科, 准教授 (60434198)

Research Collaborator Tsurumi Hiroyuki  
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords大規模データ / 多相多元データ / スパースデータ / 非対称データ / 次元縮約 / クラスタリング / 多次元尺度構成法
Outline of Final Research Achievements

In this study, we aim to study the framework of the selection of the appropriate statistical model to analyze large complex data considering the attribute of the structure and form of the data. Recently, there has been increasing interest in the analysis of large complex data that contain a wide variety of information in many fields. We proposed the method that can appropriately analyze the attribute of large complex data. We applied the proposed method to the academic field dealing with many complex social and psychological phenomena. Based on the results of this study, we tried to contribute in various fields where the need to analyze large complex data is increasing.

Academic Significance and Societal Importance of the Research Achievements

多相多元データをより低次の相や元に圧縮・分割した上で分析すること,非対称データにおいて非対称モデルで分析することの是非を判断するための方法論の構築により構造や形式がより複雑なデータを解析可能なモデルを使うべきなのか,単純なモデルで解析を行うべきなのかということについての指針を示すことができた.大規模複雑なデータを分析することのニーズが高まっている多くの分野での貢献が期待される.本研究における大規模複雑なデータを解析するための方法を提案することがき,多くの複雑な社会現象や心理現象を扱う学問分野あるいは応用分野への適応が期待できる.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (24 results)

All 2019 2018 2017 2016 Other

All Int'l Joint Research (3 results) Journal Article (3 results) (of which Peer Reviewed: 2 results,  Open Access: 2 results,  Acknowledgement Compliant: 1 results) Presentation (17 results) (of which Int'l Joint Research: 10 results,  Invited: 2 results) Book (1 results)

  • [Int'l Joint Research] University of Bayreuth(ドイツ)

    • Related Report
      2018 Annual Research Report
  • [Int'l Joint Research] University of Malaga(スペイン)

    • Related Report
      2018 Annual Research Report
  • [Int'l Joint Research] Cracow University of Economics(ポーランド)

    • Related Report
      2018 Annual Research Report
  • [Journal Article] The Classification and Visualization of Twitter Trending Topics Considering Time Series Variation2017

    • Author(s)
      Nakayama, A
    • Journal Title

      Data Science - Innovative Developments in Data Analysis and Clustering

      Volume: 印刷中 Pages: 161-173

    • DOI

      10.1007/978-3-319-55723-6_13

    • ISBN
      9783319557229, 9783319557236
    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] The Effects of Inter-Organizational Collaborative R&D on MNEs' Innovation Systems2017

    • Author(s)
      Iguchi, C. Hayashi, T. and Nakayama, A
    • Journal Title

      Global, Innovative and Environmental Management

      Volume: - Pages: 64-81

    • Related Report
      2016 Research-status Report
  • [Journal Article] Evaluating the Necessity of a Triadic Distance Model2016

    • Author(s)
      Nakayama, A
    • Journal Title

      Analysis of Large and Complex Data

      Volume: - Pages: 195-205

    • DOI

      10.1007/978-3-319-25226-1_17

    • ISBN
      9783319252247, 9783319252261
    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Beer brand image classification using deep learning2019

    • Author(s)
      Nakayama, A., and Baier, D. (2019).
    • Organizer
      European Conference on Data Analysis (ECDA2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] The text mining and dimension reduction method application into exploring the isomorphic pressures in the corporate communications on the textual tweet data about sustainability in the energy sector2019

    • Author(s)
      Nakayama, A., Paliwoda, A., and Smolak, E.
    • Organizer
      European Conference on Data Analysis (ECDA2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Topic detection and classification in consumer web communication data2018

    • Author(s)
      Nakayama, A.
    • Organizer
      European Conference on Data Analysis (ECDA2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] The classification and visualization of trending topics in online word-of-mouth data2018

    • Author(s)
      Nakayama, A.
    • Organizer
      23rd International Conference on Computational Statistics (COMPSTAT2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image data analysis in web communication data using deep learning2018

    • Author(s)
      Nakayama, A., and Baier, D.
    • Organizer
      German-Japanese Symposium
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Two-mode overlapping clustering for three-mode data with applications to online shopping and site engineering2018

    • Author(s)
      Nakayama, A., and Baier, D.
    • Organizer
      European Conference on Data Analysis (ECDA2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center2017

    • Author(s)
      Nakayama, A. and Deguchi, S
    • Organizer
      2017 Conference of the International Federation of Classification Societies
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Study on Globalization of Japanese Companies Based on Text Mining2017

    • Author(s)
      Nakayama, A. and Komoda, F.
    • Organizer
      6th Japanese-German Symposium on Classification
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Generalization of relationship between tweets and products sales in case of new beverage products2017

    • Author(s)
      Tsurumi, H., Masuda, J., and Nakayama, A.
    • Organizer
      2017 Conference of the International Federation of Classification Societies
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Webコミュニケーション・データ上のトピックの分類と変化についての分析,2017

    • Author(s)
      中山厚穂・増田純也・鶴見裕之
    • Organizer
      日本行動計量学会第45回大会
    • Related Report
      2017 Research-status Report
  • [Presentation] 消費者類型化のためのクラスタリングの活用事例とその課題2017

    • Author(s)
      中山厚穂
    • Organizer
      第103回行動計量シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] ピンポイントフォーカス型テキストマイニング手法の研究2017

    • Author(s)
      菰田文男・中山厚穂
    • Organizer
      第11回 テキストアナリティクス・シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] マーケティングのためのデータ活用2017

    • Author(s)
      鶴見裕之・本橋永至・寺本高・中山厚穂・増田純也
    • Organizer
      マーケティングサイエンス学会第101回研究大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Analysis of Trending Topics in Consumer Web Communication Data2016

    • Author(s)
      akayama, A
    • Organizer
      German-Japanese Symposium 2016
    • Place of Presentation
      Reisensburg, Germany
    • Year and Date
      2016-09-11
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] マーケティングにおけるWebコミュニケーションデータ活用の可能性2016

    • Author(s)
      中山厚穂
    • Organizer
      2016年度 統計関連学会連合大会
    • Place of Presentation
      金沢大(石川県・金沢市)
    • Year and Date
      2016-09-04
    • Related Report
      2016 Research-status Report
    • Invited
  • [Presentation] マーケティングデータにおける 非対称性の分析-Web上のマーケティング・コミュニケーションデータの分析-2016

    • Author(s)
      中山厚穂
    • Organizer
      日本行動計量学会第44回大会
    • Place of Presentation
      札幌学院大学(北海道・江別市)
    • Year and Date
      2016-08-30
    • Related Report
      2016 Research-status Report
  • [Presentation] クラスタ中心を再計算しない 大規模データのための 非階層的クラスタリング2016

    • Author(s)
      中山厚穂・出口慎二・烏谷正彦
    • Organizer
      日本行動計量学会第44回大会
    • Place of Presentation
      札幌学院大学(北海道・江別市)
    • Year and Date
      2016-08-30
    • Related Report
      2016 Research-status Report
  • [Book] 調査に従事する人々のための統計学応用講座 第4版2016

    • Author(s)
      中山厚穂
    • Total Pages
      133
    • Publisher
      マーケティング・リサーチ協会
    • Related Report
      2016 Research-status Report

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Published: 2016-04-21   Modified: 2023-03-16  

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