2008 - ACM Distinguished Member
His primary areas of study are Data mining, Pattern recognition, Artificial intelligence, Association rule learning and Cluster analysis. His study in the field of GSP Algorithm is also linked to topics like Orders of magnitude. His work carried out in the field of Pattern recognition brings together such families of science as Speech recognition and Sequence.
Artificial intelligence is closely attributed to Gene expression profiling in his research. Mitsunori Ogihara has researched Association rule learning in several fields, including Tree traversal, Theoretical computer science, Hypergraph and Overhead. The study incorporates disciplines such as Entropy, Data set and Algorithm in addition to Cluster analysis.
The scientist’s investigation covers issues in Discrete mathematics, Combinatorics, Artificial intelligence, Data mining and Cluster analysis. His study focuses on the intersection of Discrete mathematics and fields such as Function with connections in the field of Set. His research integrates issues of Nondeterministic algorithm, Hierarchy and Turing machine in his study of Combinatorics.
His research in Artificial intelligence intersects with topics in Natural language processing, Machine learning, Speech recognition and Pattern recognition. His work in the fields of Data mining, such as Association rule learning and Sequential Pattern Mining, intersects with other areas such as Orders of magnitude. Mitsunori Ogihara interconnects Similarity, Information retrieval and Music information retrieval in the investigation of issues within Cluster analysis.
His main research concerns Artificial intelligence, Algorithm, Computational complexity theory, Java and Computer vision. His Artificial intelligence research is multidisciplinary, incorporating elements of Pattern recognition and Natural language processing. His Algorithm research is multidisciplinary, relying on both Nearest neighbor search and Fibonacci number.
His research investigates the connection between Computational complexity theory and topics such as Dynamical systems theory that intersect with issues in Discrete mathematics, Boolean function, Finite set and Intersection. In general Computer vision study, his work on Feature often relates to the realm of Timeline and Scale, thereby connecting several areas of interest. His Process study combines topics from a wide range of disciplines, such as Cluster analysis and Big data.
His primary areas of investigation include Algorithm, Dynamical systems theory, Computational complexity theory, Boolean function and Finite set. In the field of Algorithm, his study on Time complexity overlaps with subjects such as Hamming code. The Dynamical systems theory study combines topics in areas such as Discrete mathematics, Path, Bounded function and Integer.
His research on Discrete mathematics often connects related areas such as Variety. His biological study spans a wide range of topics, including Intersection, Boolean network and Dynamical system. His work carried out in the field of Nearest neighbor search brings together such families of science as Projection, Hash function, Hash table, Extension and Scheme.
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Parallel Algorithms for Discovery of Association Rules
Mohammed J. Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li.
Data Mining and Knowledge Discovery (1997)
New algorithms for fast discovery of association rules
Mohammed J Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li.
knowledge discovery and data mining (1997)
A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
Tao Li;Chengliang Zhang;Mitsunori Ogihara.
A comparative study on content-based music genre classification
Tao Li;Mitsunori Ogihara;Qi Li.
international acm sigir conference on research and development in information retrieval (2003)
Detecting Emotion in Music
Tao Li;Mitsunori Ogihara.
international symposium/conference on music information retrieval (2003)
A survey on wavelet applications in data mining
Tao Li;Qi Li;Shenghuo Zhu;Mitsunori Ogihara.
Sigkdd Explorations (2002)
Theoretical Foundations of Association Rules
Mohammed J. Zaki;Mitsunori Ogihara.
Incremental and interactive sequence mining
S. Parthasarathy;M. J. Zaki;M. Ogihara;S. Dwarkadas.
conference on information and knowledge management (1999)
Using discriminant analysis for multi-class classification: an experimental investigation
Tao Li;Shenghuo Zhu;Mitsunori Ogihara.
Knowledge and Information Systems (2006)
Evaluation of sampling for data mining of association rules
M.J. Zaki;S. Parthasarathy;Wei Li;M. Ogihara.
international workshop on research issues in data engineering (1997)
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