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Akihiro Inokuchi
Researcher at Kwansei Gakuin University
Publications - 51
Citations - 2846
Akihiro Inokuchi is an academic researcher from Kwansei Gakuin University. The author has contributed to research in topics: Graph (abstract data type) & Null graph. The author has an hindex of 13, co-authored 49 publications receiving 2740 citations. Previous affiliations of Akihiro Inokuchi include IBM & Osaka University.
Papers
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Book ChapterDOI
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
TL;DR: A novel approach named AGM to efficiently mine the association rules among the frequently appearing substructures in a given graph data set through the extended algorithm of the basket analysis is proposed.
Proceedings Article
Marginalized kernels between labeled graphs
TL;DR: A new kernel function between two labeled graphs that is based on an infinite dimensional feature space, so it is fundamentally different from other string or tree kernels based on dynamic programming and presents promising empirical results in classification of chemical compounds.
Journal ArticleDOI
Complete Mining of Frequent Patterns from Graphs: Mining Graph Data
TL;DR: This paper proposes a novel principle and its algorithm that derive the characteristic patterns which frequently appear in graph-structured data and can derive all frequent induced subgraphs from both directed and undirected graph structured data having loops having loops with labeled or unlabeled nodes and links.
Kernels for graphs
TL;DR: This chapter contains sections titled: Introduction, Label Sequence Kernel between Labeled Graphs, Experiments, Related Works, Conclusion.
Journal ArticleDOI
Text analytics for life science using the unstructured information management architecture
Robert L. Mack,Sougata Mukherjea,Aya Soffer,Naohiko Uramoto,Eric W. Brown,Anni R. Coden,James W. Cooper,Akihiro Inokuchi,Bala Iyer,Yosi Mass,Hirofumi Matsuzawa,L. V. Subramaniam +11 more
TL;DR: The value of text analysis in biomedical research, the development of the BioTeKS system, and applications which demonstrate its functions are described.