Takashi Washio

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method.

[BibT_eX]

[DOI]

Satoshi Hara

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Bootstrap Confidence Intervals in DirectLiNGAM.

[BibT_eX]

[DOI]

Kittitat Thamvitayakul

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner.

[BibT_eX]

[DOI]

Christiane Kamdem Kengne

Léon Constantin Fopa

Noha Ibrahim

Alexandre Termier

Marie-Christine Rousset

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Anomalous Neighborhood Selection.

[BibT_eX]

[DOI]

Satoshi Hara

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Estimating exogenous variables in data with more variables than observations.

[BibT_eX]

[DOI]

Neural Networks, 2011

DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Analyzing relationships among ARMA processes based on non-Gaussianity of external influences.

[BibT_eX]

[DOI]

Shohei Shimizu

Neurocomputing, 2011

GTRACE-RS: Efficient Graph Sequence Mining using Reverse Search

[BibT_eX]

[DOI]

Hiroaki Ikuta

CoRR, 2011

Prismatic Algorithm for Discrete D.C. Programming Problems

[BibT_eX]

[DOI]

CoRR, 2011

Discovering causal structures in binary exclusive-or skew acyclic models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Common Substructure Learning of Multiple Graphical Gaussian Models.

[BibT_eX]

[DOI]

Satoshi Hara

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Prismatic Algorithm for Discrete D.C. Programming Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Density Estimation Based on Mass.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID.

[BibT_eX]

[DOI]

Shinya Miyazaki

Katsutoshi Yada

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008).

[BibT_eX]

[DOI]

Einoshin Suzuki

Kai Ming Ting

Knowl. Inf. Syst., 2010

A new particle filter for high-dimensional state-space models based on intensive and extensive proposal distribution.

[BibT_eX]

[DOI]

Viet Phuong Nguyen

Tomoyuki Higuchi

Int. J. Knowl. Eng. Soft Data Paradigms, 2010

Modelling deposit outflow in financial crises: application to branch management and customer relationship management.

[BibT_eX]

[DOI]

Katsutoshi Yada

Yasuharu Ukai

Int. J. Adv. Intell. Paradigms, 2010

GTRACE: Mining Frequent Subsequences from Graph Sequences.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables

[BibT_eX]

[DOI]

CoRR, 2010

Mining Frequent Graph Sequence Patterns Induced by Vertices.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2010

GTRACE2: Improving Performance Using Labeled Union Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

An experimental comparison of linear non-Gaussian causal discovery methods and their variants.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Stationary Subspace Analysis as a Generalized Eigenvalue Problem.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Discovery of Exogenous Variables in Data with More Variables Than Observations.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models.

[BibT_eX]

[DOI]

Takanori Inazumi

Shohei Shimizu

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Development of Data Mining Platform MUSASHI Towards Service Computing.

[BibT_eX]

[DOI]

Kohei Ichikawa

Katsutoshi Yada

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Graph Classification Based on Optimizing Graph Spectra.

[BibT_eX]

[DOI]

Nguyen Duy Vinh

Proceedings of the Discovery Science - 13th International Conference, 2010

2009

Modeling Bank Runs in Financial Crises.

[BibT_eX]

[DOI]

Rev. Socionetwork Strateg., 2009

Special Issue on Data-Mining and Statistical Science.

[BibT_eX]

[DOI]

New Gener. Comput., 2009

Optimization of Budget Allocation for TV Advertising.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

2008

DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm.

[BibT_eX]

[DOI]

Alexandre Termier

Marie-Christine Rousset

IEEE Trans. Knowl. Data Eng., 2008

Modeling dynamic substate chains among massive states.

[BibT_eX]

[DOI]

Viet Phuong Nguyen

Intell. Data Anal., 2008

A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation.

[BibT_eX]

[DOI]

Kentarou Kido

Hiroshi Kuwajima

Proceedings of the SIAM International Conference on Data Mining, 2008

Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Acquisition: Approaches, 2008

A Bank Run Model in Financial Crises.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

A Fast Method to Mine Frequent Subsequences from Graph Sequence Data.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

A Classification Method Based on Subspace Clustering and Association Rules.

[BibT_eX]

[DOI]

Koutarou Nakanishi

New Gener. Comput., 2007

Applications eligible for data mining.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2007

Applications of Data Mining in E-Business Finance: Introduction.

[BibT_eX]

[DOI]

Proceedings of the Applications of Data Mining in E-Business and Finance, 2007

DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs.

[BibT_eX]

[DOI]

Proceedings of the Mining and Learning with Graphs, 2007

International Workshop on Risk Informatics (RI2007).

[BibT_eX]

[DOI]

Shusaku Tsumoto

Proceedings of the New Frontiers in Artificial Intelligence, 2007

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Communicability Criteria of Law Equations Discovery.

[BibT_eX]

[DOI]

Proceedings of the Computational Discovery of Scientific Knowledge, 2007

2006

A study on rough set-aided feature selection for automatic web-page classification.

[BibT_eX]

[DOI]

Web Intell. Agent Syst., 2006

Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Acquisition and Management, 2006

Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Artificial Intelligence, 2006

Risk Mining - Overview.

[BibT_eX]

[DOI]

Shusaku Tsumoto

Proceedings of the New Frontiers in Artificial Intelligence, 2006

Modeling Dynamic Substate Chains among Massive States for Prediction.

[BibT_eX]

[DOI]

Viet Phuong Nguyen

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis.

[BibT_eX]

[DOI]

Kenta Fukata

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Multi-structure Information Retrieval Method Based on Transformation Invariance.

[BibT_eX]

[DOI]

New Gener. Comput., 2005

Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2005

Advances in Mining Graphs, Trees and Sequences.

[BibT_eX]

[DOI]

Luc De Raedt

Joost N. Kok

Fundam. Informaticae, 2005

A General Framework for Mining Frequent Subgraphs from Labeled Graphs.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2005

Memory Management of Density-Based Spam Detector.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2005), 31 January, 2005

A Framework of Numerical Basket Analysis.

[BibT_eX]

[DOI]

Atsushi Fujimoto

Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005

Deriving Class Association Rules Based on Levelwise Subspace Clustering.

[BibT_eX]

[DOI]

Koutarou Nakanishi

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Mutagenicity Risk Analysis by Using Class Association Rules.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Artificial Intelligence, 2005

Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics.

[BibT_eX]

[DOI]

Fuminori Adachi

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering.

[BibT_eX]

[DOI]

Yuki Mitsunaga

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Efficient Mining of High Branching Factor Attribute Trees.

[BibT_eX]

[DOI]

Alexandre Termier

Marie-Christine Rousset

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos.

[BibT_eX]

[DOI]

Fuminori Adachi

Proceedings of the Discovery Science, 8th International Conference, 2005

Refining diagnostic knowledge extracted from interferon therapy by graph-based induction.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Active Media Technology, 2005

2004

Density-Based Spam Detector.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2004

Adaptive Ripple Down Rules method based on minimum description length principle.

[BibT_eX]

[DOI]

Intell. Data Anal., 2004

Using a Hash-Based Method for Apriori-Based Graph Mining.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Consumer Behavior Analysis by Graph Mining Technique.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction.

[BibT_eX]

[DOI]

Katsuhiko Takabayashi

Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004

2003

State of the art of graph-based data mining.

[BibT_eX]

[DOI]

SIGKDD Explor., 2003

Complete Mining of Frequent Patterns from Graphs: Mining Graph Data.

[BibT_eX]

[DOI]

Mach. Learn., 2003

Classifier Construction by Graph-Based Induction for Graph-Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Development of Generic Search Method Based on Transformation Invariance.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Performance Evaluation of Decision Tree Graph-Based Induction.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 6th International Conference, 2003

Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI.

[BibT_eX]

[DOI]

Proceedings of the Active Mining, Second International Workshop, 2003

Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction.

[BibT_eX]

[DOI]

Katsuhiko Takabayashi

Proceedings of the Active Mining, Second International Workshop, 2003

2002

Attribute Generation Based on Association Rules.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2002

Graph-based induction and its applications.

[BibT_eX]

[DOI]

Takashi Matsuda

Adv. Eng. Informatics, 2002

Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Case Generation Method for Constructing an RDR Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Adaptive Ripple Down Rules Method based on Minimum Description Length Principle.

[BibT_eX]

[DOI]

Tetsuya Yoshida

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Toward the Discovery of First Principle Based Scientific Law Equations.

[BibT_eX]

[DOI]

Proceedings of the Progress in Discovery Science, 2002

Inductive Thermodynamics from Time Series Data Analysis.

[BibT_eX]

[DOI]

Hiroshi H. Hasegawa

Yukari Ishimiya

Proceedings of the Progress in Discovery Science, 2002

Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2001

Automatic Web-Page Classification by Using Machine Learning Methods.

[BibT_eX]

[DOI]

Makoto Tsukada

Proceedings of the Web Intelligence: Research and Development, 2001

Knowledge Acquisition from Both Human Expert and Data.

[BibT_eX]

[DOI]

Takuya Wada

Proceedings of the Knowledge Discovery and Data Mining, 2001

JSAI KDD Challenge 2001: JKDD01.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Artificial Intelligence, 2001

Basket Analysis on Meningitis Data.

[BibT_eX]

[DOI]

Takayuki Ikeda

Proceedings of the New Frontiers in Artificial Intelligence, 2001

S<sup>3</sup>Bagging: Fast Classifier Induction Method with Subsampling and Bagging.

[BibT_eX]

[DOI]

Masahiro Terabe

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Discovering Admissible Simultaneous Equation Models from Observed Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

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

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Extension of Graph-Based Induction for General Graph Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery and Data Mining, 2000

Enhancing the Plausibility of Law Equation Discovery.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 2000

Nonequilibrium Thermodynamics from Time Series Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 2000

1999

Autonomous Recovery Execution in Nuclear Power Plant by the Agent.

[BibT_eX]

[DOI]

Masahiro Terabe

Cogn. Technol. Work., 1999

Characterization of Default Knowledge in Ripple Down Rules Method.

[BibT_eX]

[DOI]

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree.

[BibT_eX]

[DOI]

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Basket Analysis for Graph Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Graph-Based Induction for General Graph Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 1999

Derivation of the Topology Structure from Massive Graph Data.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 1999

"Thermodynamics" from Time Series Data Analysis.

[BibT_eX]

[DOI]

Hiroshi H. Hasegawa

Yukari Ishimiya

Proceedings of the Discovery Science, 1999

1998

Flexible Multiple Semicoarsening for Three-Dimensional Singularly Perturbed Problems.

[BibT_eX]

[DOI]

Cornelis W. Oosterlee

SIAM J. Sci. Comput., 1998

Discovery of first-principle equations based on scale-type-based and data-driven reasoning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 1998

Mining Association Rules for Estimation and Prediction.

[BibT_eX]

[DOI]

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

Development of SDS2: Smart Discovery System for Simultaneous Equation Systems.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 1998

Discovering Admissible Simultaneous Equations of Large Scale Systems.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors.

[BibT_eX]

[DOI]

Masatake Sakuma

Masaharu Kitamura

Artif. Intell., 1997

Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints.

[BibT_eX]

[DOI]