Okada,Takashi - Department of Informatics, Kwansei Gakuin University

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Okada,Takashi - Department of Informatics, Kwansei Gakuin University

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SAR Discovery on the Mutagenicity of Aromatic Nitro Compounds Studied by the Cascade Model
Rule Induction in Cascade Model based on Sum of Squares Decomposition
A Note on Covariances for Categorical Data Takashi Okada
Datascape Survey using the Cascade Model Takashi Okada
Carcinogen characteristics by the cascade model Characteristic substructures and properties in chemical carcinogens
Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model
Journal of Computer Aided Chemistry, Vol.2, 79-86 2001 ISSN 1345-8647 79 Copyright 2001 Chemical Society of Japan
Rule Induction in Cascade Model based on Sum of Squares Decomposition
Spiral Mining using Comprehensible Attributes Generated from Molecular Structures
A Correlation-Based Approach to Attribute Selection in Chemical Graph Mining
1. Data Mining in Chemistry and Medicine 2. Oral presentation preferred
DATA MINING UNVEILS STRUCTURAL CHARACTERISTICS OF LIGANDS FOR DOPAMINE RECEPTOR PROTEINS
Active User's Response: Lessons from the Structure-Activity Relationship Analysis of Dopamine Antagonists
Carcinogen characteristics by the cascade model Characteristic substructures and properties in chemical carcinogens
Datascape Survey using the Cascade Model Takashi Okada
Journal of Computer Aided Chemistry, Vol.2, 87-92 2001 ISSN 1345-8647 87 Copyright 2001 Chemical Society of Japan
Characteristic Substructures and Properties in the Chemical Carcinogenicity Studied by the Cascade Model
Explanation of the Models for Male and Female Rats Generated by the Cascade Model
1 Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied
Discovery of Characteristic Subgraph Patterns using Relative Indexing and the Cascade Model
Discovery of Characteristic Subgraph Patterns using Relative Indexing and the Cascade Model
Efficient Detection of Local Interactions in the Cascade Model
~_ Technical Papers Finding Discrimination Rules using the Cascade Model
Kwansei Gakuin Studies in Computer Science, Vol.14, pp.16 (1999). Sum of Squares Decomposition for Categorical Data
Rule Induction in Cascade Model based on Sum of Squares Decomposition