What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Algorithm
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.
His most cited work include:
- New algorithms for fast discovery of association rules (1020 citations)
- A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression (553 citations)
- A comparative study on content-based music genre classification (328 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Discrete mathematics (25.97%)
- Combinatorics (19.77%)
- Artificial intelligence (15.12%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (15.12%)
- Algorithm (9.69%)
- Computational complexity theory (8.14%)
In recent papers he was focusing on the following fields of study:
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.
Between 2015 and 2021, his most popular works were:
- Objective measurement of head movement differences in children with and without autism spectrum disorder (23 citations)
- Multimodal Content Analysis for Effective Advertisements on YouTube (10 citations)
- iDEC: indexable distance estimating codes for approximate nearest neighbor search (5 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Algorithm
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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