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ホーム > 教員情報 > 情報工学科 > 鈴木 誠 教授

鈴木 誠 教授


研究テーマ]
知識情報処理に関する研究

[主な担当科目]
プログラミング入門、コンピュータ数学1、確率統計学2

知識情報処理に関する研究

知識情報処理とは、人間が行っているような知的な情報処理をコンピュータで実現させようとする研究分野です。大規模なデータベースから有用な知識を発見するデータマイニングや、学習・推論などの研究をしています。最近は、特にテキストマイニングの研究に力を入れて取り組んでいます。

取得学位

博士(工学):早稲田大学

主な研究業績

<著書>
  1. 須子統太, 鈴木誠, 浮田善文, 小林学, 後藤正幸 : 確率統計学, オーム社, 2010

<研究論文(全て査読有り)>
  1. B.Xu, N.Yamagishi, M.Suzuki and M.Goto : Language-independent Word Acquisition Method Using State-Transition Model, Journal of Industrial Engineering & Management Systems (IEMS), Vol.15, No.3, pp.224-230, 2016
  2. 山岸直秀, 鈴木誠, 渡辺重佳 : 任意の外部記憶容量で動作するマージソート, 電子情報通信学会論文誌, Vol.J96-D,No.3, pp.441-451, 2013
  3. 後藤正幸,石田崇,鈴木誠,平澤茂一:高次元ベクトル空間モデルによるテキスト分類問題について-分類性能と距離構造の漸近解析-, 日本経営工学会誌,Vol.61, No.3, pp.97-106, 2010
  4. 鈴木誠, 平澤茂一 : 単語とN-gramの各カテゴリにおける出現頻度の比の和を用いたテキスト自動分類手法, 電気学会論文誌C, Vol. 129, No. 1, pp.118-124, 2009
  5. 鈴木誠 : カテゴリ間の単語頻度の差分を用いたテキストの自動分類, 日本経営工学会論文誌, Vol.59, No.4, pp.355-363, 2008
  6. M.Suzuki : Text Categorization Using the Maximum Ratio of Term Frequency, 日本経営工学会論文誌, Vol.58, No.6, pp.438-444, 2008
  7. 鈴木誠, 松嶋敏泰, 平澤茂一 : 不確実な知識を用いた推論のモデル化と推論法について, 情報処理学会論文誌, Vol.41, No.1, pp.1-11, 2000
  8. M.Suzuki, D.Araki, A.Higashide and T.Suzuki : An Approach to Data Fusion Using Uncertain Knowledge in Geographical Information Systems, Journal of Electrical Engineering in Japan, Vol.128, No.4, pp.65-76, 1999
  9. 鈴木誠, 荒木大, 東出彰, 鈴木輝暁 : 地理情報システムにおける曖昧な知識に基づいたデータ融合, 電気学会論文誌(C), Vol.117-C, No.12, pp.1869-1878, 1997
  10. 鈴木誠, 松嶋敏泰, 平澤茂一 : 推論の信頼性を考慮した不確実な知識の表現法と推論法について, 情報処理学会論文誌, Vol.35, No.5, pp.691-705, 1994
<国際学会発表論文(全て査読有り)>
  1. B.Xu, N.Yamagishi, M.Suzuki and M.Goto : Word Acquisition of Japanese Classical Literature Using State Transition Model, Proc. of Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS2016), J5, p.90, 310, 2016
  2. B.Xu, N.Yamagishi, M.Suzuki and M.Goto : Language-independent Word Acquisition Method Using State Transition Model, Proc. of Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS2015), pp.382-388, 2015
  3. M.Suzuki and N.Yamagishi : Chinese Word Acquisition Method Using State Transition Model, Proc. of International Symposium on Information Theory and its Applications (ISITA2014), pp.349, 2014
  4. M.Suzuki, N.Yamagishi, Y.C.Tsai and M.Goto : Language-independent text categorization by word N-gram using an automatic acquisition of words, Proc. of Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS 2013), No.1056, 2013
  5. M.Suzuki, N.Yamagishi, Y.C.Tsai and M.Goto : English and Japanese Text Categorization Using Word and Character N-grams, Proc. of Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS 2012), pp.715-722, 2012
  6. M.Suzuki, N.Yamagishi and Y.C.Tsai : Chinese Text Categorization Using the Character N-gram, Proc. of International Symposium on Information Theory and its Applications (ISITA 2012), pp.722-726, 2012
  7. M.Suzuki, N.Yamagishi and M.Goto : Korean Text Categorization Using the Character N-gram, Proc. of International Conference on Information Technology and Applications (ICITA 2011), pp.197-202, 2011
  8. M.Suzuki, N.Yamagishi, Y.C.Tsai, T.Ishida and M.Goto : "English And Taiwanese Text Categorization Using N-gram Based on Vector Space Model", Proc. of International Symposium on Information Theory and its Applications (ISITA2010), pp.106-111, 2010.
  9. M.Suzuki, N.Yamagishi, T.Ishida, M.Goto and S.Hirasawa : "On a New Model for Automatic Text Categorization Based on Vector Space Model", Proc. of IEEE International Conference on Systems, Man, and Cybernetics 2010 (SMC 2010), pp.3152-3159, 2010.
  10. M.Suzuki, Y.C.Tsai, T.Ishida, M.Goto and S.Hirasawa : "Refinement of Feature Terms and Improvement of Classification Accuracy on Multilingual Text Categorization Using Character N-gram", Proc. of Int. Conf. in Management Sciences and Decision Making (2009 ICMSDM), pp.145-151, 2009.
  11. M.Suzuki, T.Ishida and M.Goto, "Refinement of Index Term Set and Improvement of Classification Accuracy", Proceedings of International Symposium on Information Theory and its Applications (ISITA2008), pp.449-454, 2008, pp.49-54, 2008.
  12. M.Goto, T.Ishida, M.Suzuki and S.Hirasawa, "Asymptotic Evaluation of Distance Measure on High Dimensional Vector Spaces in Text Mining", Proceedings of International Symposium on Information Theory and its Applications (ISITA2008), pp.439-444, 2008.
  13. M.Suzuki, N.Yamagishi, Y.C.Tsai and S.Hirasawa, "Multilingual Text Categorization Using Character N-gram", Proceedings of IEEE International Conference on Soft Computing in Industrial Applications (SMCia/08), pp.49-54, 2008. - Best Paper Award -
  14. M.Suzuki and S.Hirasawa, "Text Categorization Based on the Ratio of Word Frequency in Each Category", Proceedings of IEEE International Conference on Systems, Man, and Cybernetics 2007 (SMC 2007), pp.3535-3540, 2007.
  15. M.Suzuki, "Japanese text classification using N-gram and the maximum ratio of term frequency among categories", Proceedings of International Conference on Artificial Intelligence and Soft Computing (ASC2007), pp.197-202, 2007.
  16. M.Suzuki, "Japanese text categorization using N-gram and the bias of word frequency over categories", Proceedings of IEEE Workshop on Soft Computing in Industrial Applications (SMCia/07), pp.91-96, 2007.
  17. M.Suzuki, "Text classification based on the bias of word frequency over categories", Proceedings of the International Conference on Artificial Intelligence and Applications (AIA), pp.400-405, 2006.
  18. M.Suzuki, T.Matsushima and S.Hirasawa, "On a Deductive Reasoning Model and Method for Uncertainty", Proceedings of the 11th International Conference on Tools with Artificial Intelligence (ICTAI'99), pp.161-164, 1999.
  19. M.Suzuki, J.Sato, T.Matsushima and S.Hirasawa, "On a Reasoning Model with a Knowledge Representation Matrix for Uncertainty", Proceedings of International Symposium on Information Theory and Its Applications (ISITA'98), pp.608-611, 1998.
  20. M.Suzuki, D.Araki, A.Higashide and T.Suzuki, "Geographical Route Planning Based on Uncertain Knowledge", Proceedings of the 7th International Conference on Tools with Artificial Intelligence (ICTAI'95), pp.434-441, 1995.

趣味

野球、スキー

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