| Data Mining Laboratory |

Representative works

  • Takashi Okada and Toshikazu Kawai: "Analogical Reasoning in Chemistry. 1. Introduction and General Strategy", Tetrahedron Computer Methodology, Vol. 2, 327 (1989).
  • Takashi Okada and W.Todd Wipke: "CLUSMOL: A System for the Conceptual Clustering of Molecules", Tetrahedron Computer Methodology, Vol. 2, 249 (1989).
  • Takashi Okada: "Parameter and State Estimation of Kinetic and Nonlinear Dynamic Systems", Comput. Chem., Vol. 8, 29 (1984).


[2007]

  • Satoshi Fujishima, Yoshimasa Takahashi, Takashi Okada:"Pharmacophore Refinement in the Chemical Structure Space", SCCJ, Vol.??, No.??, pp.???-???, 2008


  • Yu Nakano, Takashi Okada: "Fast computation of generalized characteristic rules in the cascade model" , The International Workshop on Data-Mining and Statistical Science (DMSS2007) ,　Tokyo, 2007.10.


  • Chunfei Hunang, Zsolt Lepp, Takashi Okada: "A Tool for Molecular Similarity Network", Society of Computer Chemistry, Japan, SCCJ autumn, pp.2006. Himeji, 2007.10.



  • Zsolt Lepp, Chunfei Hunang, Takashi Okada: "Constructing Protein Networks Based on Molecular Fragments of Pharmacologically Active Ligands", 2007 Annual Meeting of CBI Society,PP.109, Hiroshima, 2007.10.

  • Satoshi Fujishima, Yoshimasa Takahashi and Takashi Okada: "Pharmacophore Knowledge Refinement Method in the Chemical Structure Space, The proceedings of The Tenth International Conference on Discovery Science (DS-2007), Sendai, 2007.

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  • Takashi Okada, Masumi Yamakawa, Satoshi Fujishima and Norito Ohmori: "Phrmacophore Identification by Data Mining ", Fourth International Symposium on Computational Methods in Toxicology and Pharmacology Integrating Internet Resources (CMTPI - 2007) , Moscow, Russia, pp.65, 2007.09.05

     

  • Takashi OKADA:"A Correlation-Based Approach to Attribute Selection in Chemical Graph Mining.", In New Frontiers in Artificial Intelligence, JSAI2003 and JSAI2004 Conferences and Workshops, Niigata, LNCS3609, Springer-Verlag , pp.517-526, 2007.




  • Satoshi Fujishima, Yoshimasa Takahashi, Katsumi,Nishikoori, Hiroaki Kato and Takashi Okada:
    " Extended Study of the Classification of Dopamine Receptor Agonists and Antagonists using a TFS-based Support Vector Machine ", New Generation Computing, Vol.25, NO.3, pp.203-212, 2007.


  • Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda and Takashi Okada: "Analysis on a Relation between Enterprise Profit and Financial Sate by Using Data Mining Techniques", New Frontiers in Artificial Intelligence, JSAI 2006 Conference and Workshops, Tokyo, LNCS4384, Springer-Verlag, 2007, PP.305-316. International Workshops Collocated with the 20th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2006)

[2006]

  • T.Okada: "Mining from Chemical Graphs", Chap.14, PartⅢ　APPLICATIONS, in “Mining Graph Data”, D.J. Cook, L..B. Holder Ed. Wiley - Interscience A John Wiley & Sons, Inc., Publication, pp.347-379, 2007. 2

  • Takashi OKADA: "Introduction to Data Mining and its Application to Pharmaceauticals", Seminar, FARUMASHIA, The Pharmaceutical Society of Japan, Vol.43, No.2, pp.133-138, 2007.2


  • Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada: "Mutagenicity Risk Analysis by Using Class Association Rules", New Frontiers in Artificial Intelligence: Joint JSAI 2005 Workshop Post-Proceedings, LNCS4012, Springer Berlin / Heidelberg , 2006, pp.436 - 445.


  • Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda and Takashi Okada: "Analysis on a Relation between Enterprise Profit and Financial Sate by Using Data Mining Techniques", International Workshops Collocated with the 20th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2006) , Funabori, Tokyo.

[2005]

  • Takashi OKADA: "Finding characteristic ligand substructures to dopamine receptors", The International Chemical Congress of Pacific (PACIFICHEM2005), AM Session : Drug Discovery in a Systems Biology World: Integration of Biology and Chemistry Information(#181), as an invited speaker, Honolulu, Hawaii, USA, (2005).


  • Yoshimasa TAKAHASHI, Satoshi FUJISHIMA, Katsumi NISHIKOORI, Hiroaki KATO and Takashi OKADA: "Identification of Dopamine D1 Receptor Agonists and Antagonists under Existing Noise Comp@ounds by TFS-based ANN and SVM" Journal of Computer Chemistry, Japan, Vol.4, No.2, 2005, PP.43-48.


  • Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada: "Mutagenicity Risk Analysis by Using Association Rules", JSAI 2005, Proceedings of the First International Workshop on Risk Management Systems with Intelligent Data Analysis, Kitakyusyu, pp.23 - 34.


  • Hirotaka NIITSUMA, Takashi OKADA: "Covariance and PCA for Categorical Variables", In Proceedings of The 9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD-05), Hanoi, LNAI3518, Springer-Verlag, pp.523 - 528.


  • Takashi OKADA, Tomoharu Ishizaki and Eiichiro Ichiishi: "Data Mining of Pharmaceutical Interactions", The First International Conference on Complex Medical Engineering ( CME2005 ), Kagawa. [PDF-file???KB]


  • Takashi OKADA: "A Correlation-Based Approach to Attribute Selection in Chemical Graph Mining.", In New Frontiers in Artificial Intelligence, JSAI 2004 Workshop Post-Proceedings, LNCS, Springer-Verlag (in press), pp.??? - ???.


  • Takashi Okada, Masumi Yamakawa and Hirotaka Niitsuma: "Spiral Mining using Attributes from 3D Molecular Structures", Postproc. of the Second International Workshop, AM2003, LNAI3430, Springer-Verlag,, pp.287 -302. [PDF-file172KB]

[2004]

  • Takashi Okada,Masumi Yamakawa,Hirotaka Niitsuma:"Spiral Mining using Comprehensible Attributes
    Generated from Molecular Structures",ISMIS2003 Second International Workshop on Active Mining,,in Maebashi).
    A paper, pp. - , (2004). [PDF-file172KB]
  • Takashi Okada: "A Correlation-Based to Attribute Selection in Chemical Grahp Mining", The Eighteenth Annual Conference of the Japanese Society of Artificial Intelligence (JSAI2004) ,Thrid International Workshop on Active Mining , in Kanazawa, pp - ,(2004).[PDF-file 314KB]

  • Takashi Okada: "Attribute Selection in Chemical Graph Mining Using Correlations among Linear Fragments", The 15th European Conference on Machine Learning (ECML) and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases , in Pisa,Italy. pp - ,(PKDD2004) . [PDF-file 312KB]

  • Takashi Okada,Masumi Yamakawa: " Data Mining in Chemistry and Medicine", International Conference on Chemometrics and Bioinformatics in Shanghai,China. pp. - , (CCBA-2004). [PDF-file 10KB]

[2003]

  • Sukree Sinthropinyo、Cholwich Natee、Masayuki Numao、Takashi Okada:"Classifying Dopamine Antagonist Molecules Using Inductive Logic Programming", The Japanese Society for Artificial Intelligence, The 64th JSAI
    SIG-KBS, Kyushu University satellite office international research power plaza. pp.37-40（2004）,
    SIG-KBS-A304-07(3/1).

  • Takashi Okada, Masumi Yamakawa: "Lead Characteristics Mining in Drug Design using the Cascade Model", I.S.I.R. International Symposium, (2003).
  • Takashi Okada, Masumi Yamakawa:"DataMining Unveils Structural Characteristics of Ligands for Dopamine Receptor Proteins",The10th Asian Chemical Congress,Hanoi・Vietnam(2003)Sessions&SymposiumACC3 No.1[PDF-file 245KB]
  • Takashi Okada, Masumi Yamakawa: "Lead Characteristics Mining in Drug Design using the Cascade Model", I.S.I.R. International Symposium, (2003).
  • T.Okada:"Characteristics Substructures and Properties in Chemical Carcinogens studied by the Cascade Model", Bioinformatics in press,July Vol.19 Pg1208-Pg1215(2003)

     

  • N.Kamiguchi,M.Yamakawa,H.Niitsuma,T.Okada:"Structural Characteristics of Dopamine Receptor Ligands",26thChemical Informatics Debating Congress, Lecture No.K12(2003)
  • Takashi Okada, Hirotaka Niitsuma:"Kernal PCA for Categorical Data"The Instistute of Electronics,Information and Communications(2003)

[2002]

  • Takashi Okada: "Active User's Response: Lessons from the Structure-Activity Relationship Analysis of Dopamine Antagonists", The 2002 IEEE International Conference on Data Mining , pp.103-107, Maebashi, (2002). [PDF-file245KB]
  • Takashi Okada: "Characteristic Substructures and Properties in Chemical Carcinogens Studied by the Cascade Model", accepted for publication in Bioinformatics, (2002). [PDF-file]
  • Takashi Okada: "Datascape Survey using the Cascade Model", Discovery Science, pp.233-246, (2002). [PDF-file152KB]
  • Takashi Okada: "Organizing Rules Yields Datascape", Pacific Knowledge Acquisition Workshop 2002, (2002).
  • Takashi Okada: "Topographical Expression of a Rule for Active Mining", In Hiroshi Motoda(eds.)"Active Mining", pp247-257, IOS Press, (2002). [PDF-file789KB]
  • Takashi Okada: "Datascape Survey using the Cascade Model", submitted to KDD, (2002). [PDF-file339KB]

[2001]

  • Takashi Okada: "Characteristic Substructures and Properties in Chemical Carcinogens Studied by the Cascade Model", submitted to Bioinformatics, (2001). [PDF-file151KB]
  • Takashi Okada: "Discovery of Structure Activity Relationships using the Cascade Model: The Mutagenicity of Aromatic Nitro Compounds", Journal of Computer Aided Chemistry, Vol.2, 79-86 (2001). [PDF-file135KB]
  • Akihiro Inokuchi, Takashi Washio, Takashi Okada, and Hiroshi Motoda: "Applying the Apriori-based Graph Mining Method to Mutagenesis Data Analysis", Journal of Computer Aided Chemistry, Vol.2, 87-92 (2001). [PDF-file144KB]
  • Takashi Okada: "Characteristic Substructures and Properties in the Chemical Carcinogenicity Studied by the Cascade Model", International Workshop on Predictive Toxicology Challenge 2001, Freiburg (2001). [PDF-file44KB]; Supplementary document "Explanation of the Models for Male and Female Rats Generated by the Cascade Model" (2001). [PDF-file182KB]
  • Takashi Okada: "Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model", Takao Terano, Toyoaki Nishida, Akira Namatame, Shusaku Tsumoto, Yukio Ohsawa, and Takashi Washio (Eds.) New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings, pp.533-540, Lecture Notes in Computer Science 2253, Springer-Verlag, (2001). [PDF-file 103KB] ©Springer-Verlag, (2001). Revised version from the original presentation at International Workshop JSAI KDD Challenge 2001, Matsue (2001): [PDF-file 212KB]

[2000]

  • Takashi Okada: "SAR Discovery using the cascade model", 2000 International Chemical Congress of Pacific Basin Societies, MEDI 0152, Honolulu (2000).
  • Takashi Okada: "A Note on Covariances for Categorical Data", K.S.Leung, L.W.Chan, and H.Meng (Eds.) Intelligent Data Engineering and Automated Learning - IDEAL 2000, pp.150-157, LNCS 1983, Springer-Verlag, (2000). [PDF-file 52KB] ©Springer-Verlag (2000). Lecture Notes in Computer Science.
  • Takashi Okada & Mayumi Oyama: "Discovery of Characteristic Subgraph Patterns using Relative Indexing and the Cascade Model", D.A.Zighed, J.Komorowski, and J. Zitkow (Eds.) Principles of Data Mining and Knowledge Discovery PKDD 2000, pp.550-557, LNAI 1910, Springer-Verlag, (2000). [PDF-file 46KB, Extended version PDF-file 66KB] ©Springer-Verlag (2000). Lecture Notes in Computer Science.
  • Takashi Okada: "Application of Generalized Sum of Squares in Data Mining", INFORMS-KORMS Seoul 2000, TE05-4782, Seoul (2000).
  • Takashi Okada: "SAR Discovery on the Mutagenicity of Aromatic Nitro Compounds Studied by the Cascade Model", Proc. Int. Workshop KDD Challenge on Real-world Data, pp.47-53, PAKDD-2000 (2000). [PDF-file 46KB]
  • Akihiro Inokuchi, Takashi Washio, Takashi Okada & Hiroshi Motoda: "Applying Algebraic Mining Method of Graph Substructures to Mutagenesis Data Analysis", Proc. Int. Workshop KDD Challenge on Real-world Data, pp.41-46, PAKDD-2000 (2000).
  • Takashi Okada: "Efficient Detection of Local Interactions in the Cascade Model", T.Terano , H. Liu, and A.L.P. Chen (Eds.) Knowledge Discovery and Data Mining PAKDD-2000, LNAI 1805, pp.193-203 (2000). [PDF-file 75KB] ©Springer-Verlag (2000). Lecture Notes in Computer Science.
  • Takashi Okada: "Finding Discrimination Rules Using the Cascade Model", J. Jpn. Soc. Artificial Intelligence, Vol.15, pp.321-330 (2000). [PDF-file216KB]

[1999]

  • Takashi Okada: "Sum of Squares Decomposition for Categorical Data", Kwansei Gakuin Studies in Computer Science, Vol.14 pp.1-6 (1999). [PDF-file 35KB]
  • Takashi Okada: "Rule Induction in Cascade Model based on Sum of Squares Decomposition", J.M.Zytkow and J. Rauch (Eds.): Principles of Data Mining and Knowledge Discovery PKDD'99, pp.468-475, LNAI 1704, Springer-Verlag (1999). Lecture Notes in Computer Science [© Springer-Verlag original version PDF-file 42KB] Errata PDF-file 14KB; Corrected version PDF-file 46KB.]
  • Shusaku Tsumoto et al.: "Comparison of Data Mining Methods using Common Medical Datasets", Proc. ISM Symposium Data Mining and Knowledge Discovery in Data Science, pp.63-72, Institute of Statistical Mathematics, Tokyo (1999).

[1996]

  • Guifeng Li, Mayumi Oyama and Takashi Okada： "Knowledge Discovery from Syntactic Trees", 10th National meeting of Jpn. Soc. Artificial Intelligence, 08-01, Tokyo (1996).

[1995]

  • Hiroyuki Nakagawa, Yasushi Koyama, Toshikazu Kawai and Takashi Okada: "A New Clustering System for Protein Sequences and its Application to Constraints Discovery in Protein Evolution", Int. J. Peptide Protein Res., 46, 440-451 (1995).
  • Hiroyuki Nakagawa, Takashi Okada and Yasushi Koyama: "Role of Amino-Acid Sidechains in Reaction Center of Rhodopseudomonas viridis as Revealed by Exteded Huckel Molecular Orbital Calculations", Biospectroscopy, 1, 169-185 (1995).

[1994]

  • Hiroyuki Nakagawa, Yasushi Koyama and Takashi Okada: "Cytochrome c Electronic Structure Characterization toward the Analysis of Electron Transfer Mechanism", J. Biochem. 115, 891 (1994).

[1993]

  • Takashi Okada: "Similarity and Analogy Based on Discrimination Net" in W. A. Warr Ed., Chemical Structures 2. The International Language of Chemistry, (1993) 389, Springer-Verlag, Berlin.
  • Takashi Okada, Kazumi Nakatsu and Yasunori Yoshioka: "Photochromic Compounds: Discrimination Net Analysis and Molecular Design" in M. Doyama, J. Kihara, M.Tanaka and R. Yamamoto Ed., Computer Aided Innovation of New Materials Part 2, 1147 (1993).

[1992]

  • Hiroyuki Nakagawa, Yasushi Koyama and Takashi Okada: "Conceptual Clustering System for Protein Sequences and Discovering Intramolecular Electron Transfer Paths in Cytochrome c", J. Protein Chem., 11, 409 (1992).

 

| Data Mining Laboratory |
 
©2003 Takashi OKADA • • • School of Science & Technology • • • Kwansei Gakuin University • • •