Akihiro Inokuchi

发表

Mining generalized substructures from a set of labeled graphs

Akihiro Inokuchi, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

FRISSMiner: Mining Frequent Graph Sequence Patterns Induced by Vertices

Takashi Washio, Akihiro Inokuchi, Akihiro Inokuchi, 2012, IEICE Trans. Inf. Syst..

GTRACE-RS: Efficient Graph Sequence Mining using Reverse Search pdf

Takashi Washio, Akihiro Inokuchi, Hiroaki Ikuta, 2011, ArXiv.

Mining significant pairs of patterns from graph structures with class labels

Hisashi Kashima, Akihiro Inokuchi, H. Kashima, 2003, Third IEEE International Conference on Data Mining.

Text analytics for life science using the Unstructured Information Management Architecture

James W. Cooper, Sougata Mukherjea, L. Venkata Subramaniam, 2004, IBM Syst. J..

Marginalized Kernels Between Labeled Graphs

Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi, 2003, ICML.

Generalization for Frequent Subgraph Mining

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 2004 .

Transition-based dependency parser with postponed determinations for Japanese sentences

Akihiro Inokuchi, Xiaobo Xi, 2017, 2017 International Conference on Asian Language Processing (IALP).

Proceedings of the 20th annual conference on New frontiers in artificial intelligence

Hideaki Takeda, Takashi Washio, Ken Satoh, 2006 .

New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers

Shusaku Tsumoto, Takashi Washio, Sanjay Chawla, 2009, PAKDD Workshops.

MedTAKMI-CDI: Interactive knowledge discovery for clinical decision intelligence

Koichi Takeda, Noriko Inaoka, Akihiro Inokuchi, 2007, IBM Syst. J..

Method for extracting connected frequent subgraphs in Graph Structured Data

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 2002 .

GTRACE2: Improving Performance Using Labeled Union Graphs

Takashi Washio, Akihiro Inokuchi, 2010, PAKDD.

Mining Rules for Rewriting States in a Transition-based Dependency Parser for English

Masayuki Asahara, Takashi Washio, Akihiro Inokuchi, 2012, COLING.

Detecting Smooth Cluster Changes in Evolving Graphs

Akihiro Inokuchi, Sohei Okui, Kaho Osamura, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Hadamard Code Graph Kernels for Classifying Graphs

Akihiro Inokuchi, Tetsuya Kataoka, 2016, ICPRAM.

Method to Make Apriori-based Graph Algorithm Efficiency

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 2001 .

Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings

Kai Ming Ting, Einoshin Suzuki, Akihiro Inokuchi, 2008, PAKDD.

ILP Comparison of Graph Mining Method with Inductive Logic Programming Systems

Akihiro Inokuchi, 2004 .

Experimental Evaluation of Graph Classification with Hadamard Code Graph Kernels

Akihiro Inokuchi, Tetsuya Kataoka, 2016, ICPRAM.

A method for online analytical processing of text data

Koichi Takeda, Akihiro Inokuchi, Akihiro Inokuchi, 2007, CIKM '07.

Complete Mining of Frequent Patterns from Graphs: Mining Graph Data

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 2003, Machine Learning.

Fast Apriori-based Graph Mining Algorithm and application to 3-dimensional Structure Analysis

Takashi Washio, Hiroshi Motoda, Takashi Okada, 2003 .

Accurate and Fast Computation of Approximate Graph Edit Distance based on Graph Relabeling

Akihiro Inokuchi, Sousuke Takami, Akihiro Inokuchi, 2018, ICPRAM.

Graph Classification Based on Optimizing Graph Spectra

Takashi Washio, Akihiro Inokuchi, Nguyen Duy Vinh, 2010, Discovery Science.

Kernels for graph classification

Hisashi Kashima, Akihiro Inokuchi, H. Kashima, 2002 .

Regression with interval output values

Hisashi Kashima, Hiroto Saigo, Akihiro Inokuchi, 2008, 2008 19th International Conference on Pattern Recognition.

Mining Frequent Graph Sequence Patterns Induced by Vertices

Takashi Washio, Akihiro Inokuchi, Akihiro Inokuchi, 2010, SDM.

Basket Analysis for Graph Structured Data

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 1999, PAKDD.

Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Kai Ming Ting, Takashi Washio, Akihiro Inokuchi, 2008 .

A General Framework for Mining Frequent Subgraphs from Labeled Graphs

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 2004, Fundam. Informaticae.

Mapping Distance Graph Kernels using Bipartite Matching

Akihiro Inokuchi, Tetsuya Kataoka, Eimi Shiotsuki, 2017, ICPRAM.

Derivation of the Topology Structure from Massive Graph Data

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 1999, Discovery Science.

Detecting Smooth Cluster Changes in Evolving Graph Structures

Akihiro Inokuchi, Sohei Okui, Kaho Osamura, 2019 .

Akihiro Inokuchi, Yuta Yajima, 2020, ArXiv.

Efficient Supergraph Search Using Graph Coding

Akihiro Inokuchi, Shun Imai, 2020, IEICE Trans. Inf. Syst..

A Fast Method to Mine Frequent Subsequences from Graph Sequence Data

Takashi Washio, Akihiro Inokuchi, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Graph Classification with Mapping Distance Graph Kernels

Akihiro Inokuchi, Tetsuya Kataoka, Eimi Shiotsuki, 2017, ICPRAM.

GTRACE: Mining Frequent Subsequences from Graph Sequences

Takashi Washio, Akihiro Inokuchi, 2010, IEICE Trans. Inf. Syst..

Efficient Graph Sequence Mining Using Reverse Search

Takashi Washio, Akihiro Inokuchi, Hiroaki Ikuta, 2011, IEICE Trans. Inf. Syst..

An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data

Takashi Washio, Hiroshi Motoda, Akihiro Inokuchi, 2000, PKDD.

Proceedings of the 2007 conference on New frontiers in artificial intelligence

Katashi Nagao, Takahiro Kawamura, Ken Satoh, 2007 .

Akihiro Inokuchi, Masataka Yamada, Akihiro Inokuchi, 2021, Algorithms.

Applying Algebraic Mining Method of Graph Substructures to Mutageniesis Data Analysis

Takashi Washio, Hiroshi Motoda, Takashi Okada, 2008 .

Applying the Apriori-based Graph Mining Method to Mutagenesis Data Analysis

Takashi Washio, Hiroshi Motoda, Takashi Okada, 2001 .