業 績　

2006年

著書

  1. Achim G. Hoffmann, Byeong Ho Kang, Debbie Richards, Tsumoto S : Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers, Heidelberg: Springer, 2006
  2. Ohsawa Y, Tsumoto S (eds.): Chance Discoveries in Real World Decision Making Data-based Interaction of Human intelligence and Artificial Intelligence Series: Studies in Computational Intelligence ,Vol. 30, 2006
  3. Hirano S and Tsumoto S: On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering, in Washio T, Sakurai A, Nakajima K , Takeda H , Tojo S and Yokoo M (eds): New Frontiers in Artificial Intelligence, Heidelberg: Springer, 2006, pp.5-16,
  4. 元田浩，津本周作，山口高平，沼尾政男: 「データマイニングの基礎」IT Text, 東京: オーム社, 2006

論文

  1. Tsumoto S: Editor of special issues on chance discovery. New Mathematics and Natural Computation 2: 57-58, 2006.
  2. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating model construction methods with objective rule evaluation indices to support human experts. Lecture Notes in Computer Science 3885: 93-104, 2006
  3. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating a rule evaluation support method based on objective rule evaluation indices. Lecture Notes in Computer Science 3918: 509-519, 2006
  4. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Developing a rule evaluation support method based on objective indices. Lecture Notes in Computer Science 4062: 456-461, 2006
  5. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning algorithms for a rule evaluation support method based on objective rule evaluation indices. Lecture Notes in Computer Science 4203: 379-388, 2006
  6. Hirano S, Tsumoto S: Characteristics of indiscernibility degree in rough clustering examined using perfect initial equivalence relations. Lecture Notes in Computer Science 4203: 454-462, 2006
  7. Tsumoto S: Pawlak rough set model, medical reasoning and rule mining. Lecture Notes in Computer Science 4259: 53-70, 2006
  8. Tsumoto S, Hirano S: Distribution of determinants of contingency matrix. Lecture Notes in Computer Science 4259: 567-576, 2006
  9. Tsumoto S, Hirano S: Interpretation of contingency matrix using marginal distributions. Lecture Notes in Computer Science 4259: 577-586, 2006
  10. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning models for a rule evaluation support method based on objective indices. Lecture Notes in Computer Science 4259: 687-695, 2006
  11. Tsumoto S, Matsuoka K, Yokoyama S: Risk mining: Mining nurses' incident factors and application of mining results to prevention of incidents. Lecture Notes in Computer Science ?4259: 706-715, 2006
  12. Hirano S, Tsumoto S: A framework for unsupervised selection of indiscernibility threshold in rough clustering. Lecture Notes in Computer Science 4259: 872-881, 2006
  13. Abe H, Tsumoto S, Ohsaki M, Yokoi H, Yamaguchi T: Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices. Lecture Notes in Computer Science 4303: 75-88, 2006
  14. Abe H, Yamaguchi T: A constructive meta-level feature selection method based on method repositories. Journal of Computers 1: 20-26, 2006
  15. Hanada E, Fujiki T, Nakakuni H, Sullivan CV: The effectiveness of the installation of a mobile voice communication system in a university hospital. Journal of Medical Systems 30: 101-106, 2006
  16. 平野章二, 津本周作: 軌跡表現と多重スケール比較を基礎とした不均質時系列医療データのクラスタ分析. 医療情報学 26: 257-266, 2006

学会発表

  1. 阿部秀尚, 大崎美穂, 横井英人, 山口高平, 津本周作: 客観的指標群に基づくルール評価支援手法の評価　−慢性肝炎データマイニング結果を対象として−. 電子情報通信学会KBSE研究会・第72回KBS研究会 合同研究会. 横浜, 2006年1月
  2. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating model construction methods with objective rule evaluation indices to support human experts. Modeling Decisions for Artificial Intelligence 2006. Tarragona, April 2006
  3. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating a rule evaluation support method based on objective rule evaluation indices. 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Singapore, April 2006
  4. Tsumoto S: [Panel Discussion] Panel on Computational Intelligence. 2006 IEEE International Conference on Granular Computing. Atlanta, May 2006
  5. Tsumoto S, Hirano S: Characterization of contextual independene of contigency table. 2006 IEEE International Conference on Granular Computing. Atlanta, May 2006
  6. Tsumoto S, Hirano S: Analysis of sample size effect on dependency of ?contingency matrix. 2006 IEEE International Conference on Granular Computing. Atlanta, May 2006
  7. Tsumoto S, Tsumoto Y: Construction of statistical models for hospital management. Second international R user conference. Vienna, June 2006
  8. Tsumoto S, Hirano S: Role of marginal distribution in a contingency table. North American Fuzzy Information Processing Society Annual Conference 2006. Montreal, June 2006
  9. 阿部秀尚, 津本周作, 大崎美穂, 山口高平: メタ学習に基づくルール評価支援手法の評価. 第20回人工知能学会全国大会. 東京, 2006年6月
  10. 平野章二, 津本周作: 軌跡表現と多重スケール比較を基礎とした不均質時系列医療データのクラスタ分析. 第10回日本医療情報学会春季学術大会. 神戸, 2006年6月
  11. 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 情報科学演習発表会における評価行動の定量的分析. 第7回看護情報研究会. 神戸, 2006年6月
  12. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Developing a rule evaluation support method based on objective indices. First International Conference on Rough Sets and Knowledge Technology. Chongquing, July 2006
  13. Tsumoto S: Accuracy and coverage in rough set rule induction. 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Paris, July 2006
  14. Hirano S, Tsumoto S: On the relations between indiscernibility degree and cluster number in rough clustering. 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Paris, July 2006
  15. 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: テュートリアル教育(情報科学演習)における学習行動の類似性に関する定量分析. SAS Forum ユーザー会 学術総会. 東京, 2006年7月
  16. 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: テュートリアル教育（情報科学演習）における学習行動の等質性. 第38回日本医学教育学会. 奈良, 2006年7月
  17. Abe H, Tsumoto S, Ohsaki M, Yokoi H, Yamaguchi T: Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices. 2006 Pacific Rim Knowledge Acquisition Workshop. Guilin, August 2006
  18. Tsumoto S: [Panel Discussion] Data structure and algorithm in data mining: Granular computing view. 30th Annual International Computer Software and Applications Conference. Chicago, September 2006
  19. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning algorithms for a rule evaluation support method based on objective rule evaluation indices. 16th International Symposium on Methodologies for Intelligent Systems. Bari, September 2006
  20. Hirano S, Tsumoto S: Characteristics of indiscernibility degree in rough clustering examined using perfect initial equivalence relations. 16th International Symposium on Methodologies for Intelligent Systems. Bari, September 2006
  21. 安田 晃, 澤田泰人, 津本周作: 認定農業者の経営に関する課題認識の定量化. 日本行動計量学会第34回大会. 上尾, 2006年9月
  22. 澤田泰人, 安田 晃, 津本周作: 島根県認定農業者の経営に関する問題意識の定量的分析. 日本行動計量学会第34回大会. 上尾, 2006年9月
  23. Tsumoto S: Risk mining. 2006 IEEE International Conference on Systems, Man and Cybernetics. Taipei, October 2006
  24. Hirano S, Tsumoto S: On the nature of degree of indiscerniblity for rough clustering. 2006 IEEE International Conference on Systems, Man and Cybernetics. Taipei, October 2006
  25. Tsumoto S: [Plenary Talk] Pawlak rough set model, medical reasoning and rule mining. Fifth International Conference on Rough Sets and Current Trends in Computing. Kobe November 2006
  26. Tsumoto S, Hirano S: Distribution of determinants of contingency matrix. Fifth International Conference on Rough Sets and Current Trends in Computing. Kobe, November 2006
  27. Tsumoto S, Hirano S: Interpretation of contingency matrix using marginal distributions. Fifth International Conference on Rough Sets and Current Trends in Computing. Kobe, November 2006
  28. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning models for a rule evaluation support method based on objective indices. Fifth International Conference on Rough Sets and Current Trends in Computing. Kobe, November 2006
  29. Tsumoto S, Matsuoka K, Yokoyama S: Risk mining: mining nurses' incident factors and application of mining results to prevention of incidents. Fifth International Conference on Rough Sets and Current Trends in Computing. Kobe, November 2006
  30. Hirano S, Tsumoto S: A framework for unsupervised selection of indiscernibility threshold in rough clustering. Fifth International Conference on Rough Sets and Current Trends in Computing. Kobe, November 2006
  31. 中國秀章, 中林愛恵, 花田英輔, 津本周作: 分布情報に基づく在院日数短縮目標設定に関する一考察. 第26回医療情報学連合大会. 札幌, 2006年11月
  32. 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 新入生におけるコンピュータの操作と概念との関係. 第26回医療情報学連合大会. 札幌, 2006年11月
  33. 阿部秀尚, 平野章二, 津本周作: 退院時サマリーからの時系列関係知識抽出. 第26回医療情報学連合大会. 札幌, 2006年11月
  34. 平野章二, 津本周作: 動画配信機能を備えた横連携指向グループ作業基盤の構築. 第26回医療情報学連合大会. 札幌, 2006年11月
  35. Hirano S, Tsumoto S: Cluster analysis of time-series medical data based on the trajectory representation and multiscale comparison techniques. 6th IEEE International Conference on Data Mining. Hong Kong, December 2006
  36. Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning algorithms composed by a constructive meta-learning scheme for a rule evaluation support method. 6th IEEE International Conference on Data Mining Workshops. Hong Kong, December 2006
  37. Tsumoto S, Hirano S: Residual matrix and statistical independence in a contingency table. 6th IEEE International Conference on Data Mining Workshops. Hong Kong, December 2006
  38. Tsumoto S, Matsuoka K, Yokoyama S: Risk mining in hospital information systems. 6th IEEE International Conference on Data Mining Workshops. Hong Kong, December 2006
  39. Ohsaki M, Abe H, Tsumoto S, Yokoi H, Yamaguchi T: Proposal of medical KDD support user interface utilizing rule interestingness measures. 6th IEEE International Conference on Data Mining Workshops. Hong Kong, December 2006

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