The Institute of Scientific and Industrial Research, Osaka University

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HOME > Research Introduction > Division of Information and Quantum Sciences > Department of Reasoning for Intelligence

Department of Reasoning for Intelligence

Staff

  • Photo
    Prof.
    T. WASHIO
  • Photo
    Assoc. Prof.
    Y . KAWAHARA
  • Photo
    Assoc. Prof.
    S . SHIMIZU

Content of research

Under the evolution of information & communication network and sensing technology, large scale data sets are now collected and accumulated in various scientific and social fields. However, because of our cognitive and psychological limit in the information processing capability, we are very poor at extracting useful knowledge from a huge amount of data. Our research focus is on exploring various methods of mining/discovering informative knowledge from large scale data using mathematical constraints and statistical search techniques.

Current Research Programs

  1. 1. Data Mining and Knowledge Discovery from Super High Dimensional Data
  2. 2. Learning Causal Structure Based on Data non-Gaussianity
  3. 3. Machine Learning and Data Mining Based on Discrete Convex Optimization
  4. 4. Minging and Learning from Graph Structured Data

Figure / Graph

  • Fig.1
    >Data Mining from Graph Structured Data using a Complete Bottom Up Search
  • Fig.2
    Classifier Construction using Structured Data Mining

VIDEO INTRODUCTION

The Institute of Scientific and Industrial Research, Osaka University

contact home japanese
HOME > Research Introduction > Division of Information and Quantum Sciences > Department of Reasoning for Intelligence

Department of Reasoning for Intelligence

Staff

  • Photo
    Prof.
    T. WASHIO
  • Photo
    Assoc. Prof.
    Y . KAWAHARA
  • Photo
    Assoc. Prof.
    S . SHIMIZU

Content of research

Under the evolution of information & communication network and sensing technology, large scale data sets are now collected and accumulated in various scientific and social fields. However, because of our cognitive and psychological limit in the information processing capability, we are very poor at extracting useful knowledge from a huge amount of data. Our research focus is on exploring various methods of mining/discovering informative knowledge from large scale data using mathematical constraints and statistical search techniques.

Current Research Programs

  1. 1. Data Mining and Knowledge Discovery from Super High Dimensional Data
  2. 2. Learning Causal Structure Based on Data non-Gaussianity
  3. 3. Machine Learning and Data Mining Based on Discrete Convex Optimization
  4. 4. Minging and Learning from Graph Structured Data

Figure / Graph

  • Fig.1
    >Data Mining from Graph Structured Data using a Complete Bottom Up Search
  • Fig.2
    Classifier Construction using Structured Data Mining

VIDEO INTRODUCTION