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メンバ紹介

氏名(フリガナ)

西松 研(ニシマツ ケン)

略歴

平成7年
早稲田大・理工・情報学科卒。
平成9年
大学院修士課程了。同年日本電信電話(株)入社。
以来、トラヒック予測法やユーザのサービス選択行動モデル化法の研究に従事。
平成20〜23年
東日本電信電話(株)所属。
現在、NTTネットワーク基盤技術研究所 勤務。

所属学会、学会委員など

【所属学会】

  • 情報処理学会、電子情報通信学会、日本オペレーションズ・リサーチ学会

興味ある研究分野

  • トラヒックやライフログ等のデータ分析、トラヒック制御、分散処理、AI

研究業績(論文、学会発表リスト)

【論文】

  1. M. Iwashita, A. Inoue, T. Kurosawa, and K. Nishimatsu, “Microarea Selection Method for Broadband Infrastructure Installation Based on Service Diffusion Process,” International Journal On Advances in Telecommunications, vol. 10 no 1 & 2, pp.60-71, 2017
  2. M. Iwashita, A. Inoue, T. Kurosawa, and K. Nishimatsu, “Efficient microarea selection algorithm for infrastructure installation of broadband services, ” International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 5, No. 3/4, pp.219-236, 2016
  3. M. Iwashita, S. Shimogawa, and K. Nishimatsu, "Semantic analysis and classification method for customer enquiries in telecommunication services," Engineering Applications of Artificial intelligence, vol.24, pp.1521-1531, Elsevier, December, 2011.
  4. T. Kurosawa, D. Bolduc, M. Ben-Akiva, A. Inoue, K.Nishimatsu, and M. Iwashita, "Demand Analysis by Modeling Choice of Internet Access and IP Telephony", International Journal of Information Systems in the Service Sector, Vol. 3, p.1-26, July-September, 2011
  5. T. Kurosawa, A. Inoue, and K. Nishimatsu, "Service-choice behavior modeling with latent perceptual variables", International Journal of Electronic Customer Relationship Management, Vol. 2, No. 3, pp. 228-250, 2008.

【国際会議】

  1. M. Iwashita, T. Kurosawa, A. Inoue, and K. Nishimatsu, “Microarea selection method based on service diffusion process for broadband services, ” The Eleventh International Multi-Conference on Computing in the Global Information Technology (ICCGI 2016), 2016
  2. K. Takeshita, M. Yokota, and K. Nishimatsu, "Early Network Failure Detection System by Analyzing Twitter Data," in Proc. of IFIP/IEEE International Symposium on Integrated Network Management (IFIP/IEEE IM 2015), 2015.
  3. M. Iwashita, A. Inoue, T. Kurosawa, and K. Nishimatsu, “Efficient method to determine microarea with high potential demand for broadband services,” in 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, 2015
  4. T. Kimura, K. Ishibashi, T. Mori, H. Sawada, T. Toyono, K. Nishimatsu, A. Watanabe, A. Shimoda, and K. Shiomoto, ``Spatio-temporal factorization of log data for understanding network events,” in Proc. of INFOCOM’14, pp. 610-618, 2014
  5. M. Iwashita, A. Inoue, T. Kurosawa, and K. Nishimatsu, “An Improvement of Micro Area Selection Technique for the Diffusion of ICT Infrastructure,” 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2014
  6. A. Inoue, T. Kurosawa, M. Iwashita, and K. Nishimatsu, "Customer Choice-Behavior Modeling Applied to Kansei Engineering", in 2011 International Conference on Biometrics and Kansei Engineering, 2011
  7. M. Iwashita, K. Nishimatsu, and S. Shimogawa, "Semantic analysis method for unstructured data in telecom services", in DMDM 2008: IEEE International Workshop on Data Mining for Design and Marketing 2008.
  8. M. Iwashita, K. Nishimatsu, T. Kurosawa, and S. Shimogawa, "Service choice forecasting links market strategy to network build", in 13th European Conference on Networks & Optical Communications, pp. 210-217, 2008.
  9. T. Kurosawa, K. Nishimatsu, A. Inoue, and M. Iwashita, "Customer behavior modeling under several decision-making processes by using EM algorithm", in ICETE 2007: International Joint Conference on E-business and Telecommunications, pp. 339-346, 2007.
  10. K. Nishimatsu, A. Inoue, and T. Kurosawa, "Service demand forecasting method using multiple data sources", in Networks 2006: 12th International Telecommunication Network Strategy and Planning Symposium, 2006.
  11. T. Kurosawa, A. Inoue, and K. Nishimatsu, "Telephone service choice-behavior modeling using menu choice data under competitive conditions", Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 16, pp. 711-720, 2006.
  12. K. Nishimatsu, A. Inoue, T. Kurosawa, M. Ben-Akiva, and D. Bolduc, "Service demand analysis: improved forecasting using model updating", Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 15, p. 691-698, 2005
  13. T. Kurosawa, A. Inoue, K. Nishimatsu, M. Ben-Akiva, and D. Bolduc, "Customer-choice behavior modeling with latent perceptual variables", Intelligent Engineering Systems Through Artificial Neural Networks, vol.15, pp.419-426, 2005
  14. T. Kurosawa, A. Inoue K, and K. Nishimatsu, "Service demand analysis using customer-choice behavior modeling, with consideration of awareness and perception", in IEEE International Conference on e-Technology, e-Commerce and e-Service, p. 250-255, 2005
  15. K. Nishimatsu, A. Inoue, and T. Kurosawa, "Traffic profiling method for service demand analysis", Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 14, p. 647-652, 2004
  16. S. Takahashi, A. Inoue, H. Kawano, and K. Nishimatsu, "Scenario simulation based on stated preference model", Simulation Workshop, p. 119-205, 2004
  17. A. Inoue, K. Nishimatsu, and S. Takahashi, "Multi-Attribute Learning Mechanism for Customer Satisfaction Assessment", Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 13, p. 793-800, 2003
  18. A. Inoue, S. Takahashi, K. Nishimatsu, and H. Kawano, "Service Demand Analysis Using Multi-Attribute Learning Mechanisms", in IEEE International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2003

【NTT技術ジャーナル/ NTT Technical Review】

  1. 木村, 竹下, 豊野, 横田, 西松, 森, “Syslog+SNS分析によるネットワーク故障検知・原因分析技術〜非定型なビッグデータ分析技術のNWオペレーションへの応用〜", 2013年7月号
    https://www.ntt.co.jp/journal/1307/files/jn201307020.pdf
  2. 下川, 竹下, 西松, “新しいS字成長曲線モデルを利用した需要構造マクロ分析技術”, 2013年7月号
    https://www.ntt.co.jp/journal/1307/files/jn201307025.pdf
  3. T. Kimura, K. Takeshita, T. Toyono, M. Yokota, K. Nishimatsu, T. Mori, "Network Failure Detection and Diagnosis by Analyzing Syslog and SNS data: Application of a Big-Data Analysis to Network Operating", NTT Technical Review,2013.11
    https://www.ntt-review.jp/archive/ntttechnical.php?contents=ntr201311fa4.html
  4. S. Shimogawa, K. Takeshita, K. Nishimatsu, “Analyzing Macroscopic Demand Structure Based on New Model of S-shaped Growth”, NTT Technical Review,2013.11
    https://www.ntt-review.jp/archive/ntttechnical.php?contents=ntr201311fa5.html