Takashi Washio

188 papers A* 15A 5B 30C 5Misc 1Journal 69Unranked 50
YearRankTypeTitle / Venue / Authors
2025 J jnl
Class-prior probability estimation using density ratio between unlabeled instances and positively labeled noisy instances.
Neurocomputing
Takeshi Yoshida, Eitaro Shin'ya, Takashi Washio
2024 J jnl
Is it possible to find the single nearest neighbor of a query in high dimensions?
Artif. Intell.
Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu, Kaifeng Zhang
2023 J jnl
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections.
IEEE Trans. Knowl. Data Eng.
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
2023 J jnl
Isolation Kernel Estimators.
Knowl. Inf. Syst.
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu
2022 — ed.
IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022
ICDM (Workshops)
K. Selçuk Candan, Thang N. Dinh, My T. Thai, Takashi Washio
2022 A* ed.
IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022
ICDM
Xingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu
2021 J jnl
Breaking the curse of dimensionality with Isolation Kernel.
CoRR
Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu
2021 J jnl
Classification from positive and unlabeled data based on likelihood invariance for measurement.
Intell. Data Anal.
Takeshi Yoshida, Takashi Washio, Takahito Ohshiro, Masateru Taniguchi
2021 A* conf
Isolation Kernel Density Estimation.
ICDM
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang
2021 J jnl
Isolation kernel: the X factor in efficient and effective large scale online kernel learning.
Data Min. Knowl. Discov.
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
2020 J jnl
A comparative study of data-dependent approaches without learning in measuring similarities of data objects.
Data Min. Knowl. Discov.
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
2020 A* conf
Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection.
KDD
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
2020 J jnl
Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection.
CoRR
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
2019 J jnl
A new simple and effective measure for bag-of-word inter-document similarity measurement.
CoRR
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
2019 J jnl
Analysis of cause-effect inference by comparing regression errors.
PeerJ Comput. Sci.
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
2019 J jnl
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning.
CoRR
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
2019 J jnl
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms.
Mach. Learn.
Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou
2019 — conf
Multichannel Odor Sensor System using Chemosensitive Resistors and Machine Learning.
ISOEN
Atsushi Shunori, Rui Yatabe, Bartosz Wyszynski, Yosuke Hanai, Atsuo Nakao, Masaya Nakatani, Akio Oki, Hiroaki Oka, Takashi Washio, Kiyoshi Toko
2019 C conf
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA.
ACML
Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai
2018 A conf
A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light Analysis.
SDM
Keiichi Kisamori, Takashi Washio, Yoshio Kameda, Ryohei Fujimaki
2018 J jnl
Analysis of Cause-Effect Inference via Regression Errors.
CoRR
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
2018 A conf
Cause-Effect Inference by Comparing Regression Errors.
AISTATS
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
2018 J jnl
Data Dependent Dissimilarity Measures (NII Shonan Meeting 2018-13).
NII Shonan Meet. Rep.
Kai Ming Ting, Takashi Washio, Ata Kabán
2018 J jnl
Learning Graph Representation via Formal Concept Analysis.
CoRR
Yuka Yoneda, Mahito Sugiyama, Takashi Washio
2018 J jnl
Local contrast as an effective means to robust clustering against varying densities.
Mach. Learn.
Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu
2018 A* conf
Which Outlier Detector Should I use?
ICDM
Kai Ming Ting, Sunil Aryal, Takashi Washio
2017 B conf
A novel principle for causal inference in data with small error variance.
ESANN
Patrick Blöbaum, Shohei Shimizu, Takashi Washio
2017 J jnl
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures.
Knowl. Inf. Syst.
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
2017 J jnl
Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors.
Mach. Learn.
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Sunil Aryal
2017 B conf
Machine Learning Independent of Population Distributions for Measurement.
DSAA
Takashi Washio, Gaku Imamura, Genki Yoshikawa
2016 J jnl
A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis.
ACM Trans. Intell. Syst. Technol.
Marina Demeshko, Takashi Washio, Yoshinobu Kawahara, Yuriy Pepyolyshev
2016 — ed.
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
PAKDD
James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang
2016 — ed.
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II
PAKDD (2)
James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang
2016 J jnl
Data science in Asia (for PAKDD 2016).
Int. J. Data Sci. Anal.
James Bailey, Latifur Khan, Takashi Washio
2016 J jnl
Error Asymmetry in Causal and Anticausal Regression.
CoRR
Patrick Blöbaum, Takashi Washio, Shohei Shimizu
2016 — ch.
Frequent Graph Mining.
Encyclopedia of Algorithms
Takashi Washio
2015 — conf
An accuracy evaluation of PV power output estimation method using covariance between solar radiation intensity and power flow.
ISGT Asia
Kazuhiro Yasunami, Takashi Washio
2015 — conf
Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure.
AIRS
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio
2015 — conf
Discriminative and Generative Models in Causal and Anticausal Settings.
AMBN@JSAI-isAI
Patrick Blöbaum, Shohei Shimizu, Takashi Washio
2015 J jnl
Half-space mass: a maximally robust and efficient data depth method.
Mach. Learn.
Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
2014 J jnl
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM.
CoRR
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
2014 — conf
Improving iForest with Relative Mass.
PAKDD (2)
Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio
2014 J jnl
LiNearN: A new approach to nearest neighbour density estimator.
Pattern Recognit.
Jonathan R. Wells, Kai Ming Ting, Takashi Washio
2014 A* conf
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure.
ICDM
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio
2014 J jnl
ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders.
Neural Comput.
Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio
2013 — ed.
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013
ICDM Workshops
Wei Ding, Takashi Washio, Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu
2013 — conf
A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System.
ICDM Workshops
Marina Demeshko, Takashi Washio, Yoshinobu Kawahara
2013 J jnl
Active learning for noisy oracle via density power divergence.
Neural Networks
Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio
2013 J jnl
DEMass: a new density estimator for big data.
Knowl. Inf. Syst.
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, Sunil Aryal
2013 A* conf
Efficiently rewriting large multimedia application execution traces with few event sequences.
KDD
Christiane Kamdem Kengne, Léon Constantin Fopa, Alexandre Termier, Noha Ibrahim, Marie-Christine Rousset, Takashi Washio, Miguel Santana
2013 — ed.
Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Revised Selected Papers
PAKDD Workshops
Takashi Washio, Jun Luo
2013 — conf
Estimation of causal structures in longitudinal data using non-Gaussianity.
MLSP
Kento Kadowaki, Shohei Shimizu, Takashi Washio
2013 J jnl
Learning a common substructure of multiple graphical Gaussian models.
Neural Networks
Satoshi Hara, Takashi Washio
2012 — conf
Anomalous Neighborhood Selection.
ICDM Workshops
Satoshi Hara, Takashi Washio
2012 — conf
Bootstrap Confidence Intervals in DirectLiNGAM.
ICDM Workshops
Kittitat Thamvitayakul, Shohei Shimizu, Tsuyoshi Ueno, Takashi Washio, Tatsuya Tashiro
2012 J jnl
Discovering causal structures in binary exclusive-or skew acyclic models
CoRR
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
2012 J jnl
Efficient Graph Sequence Mining Using Reverse Search.
IEICE Trans. Inf. Syst.
Akihiro Inokuchi, Hiroaki Ikuta, Takashi Washio
2012 — conf
Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner.
ICDM Workshops
Christiane Kamdem Kengne, Léon Constantin Fopa, Noha Ibrahim, Alexandre Termier, Marie-Christine Rousset, Takashi Washio
2012 — conf
Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders.
ICANN (1)
Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio
2012 J jnl
FRISSMiner: Mining Frequent Graph Sequence Patterns Induced by Vertices.
IEICE Trans. Inf. Syst.
Akihiro Inokuchi, Takashi Washio
2012 J jnl
Fast and Accurate PSD Matrix Estimation by Row Reduction.
IEICE Trans. Inf. Syst.
Hiroshi Kuwajima, Takashi Washio, Ee-Peng Lim
2012 — conf
Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method.
ICONIP (3)
Satoshi Hara, Takashi Washio
2012 B conf
Mining Rules for Rewriting States in a Transition-Based Dependency Parser.
PRICAI
Akihiro Inokuchi, Ayumu Yamaoka, Takashi Washio, Yuji Matsumoto, Masayuki Asahara, Masakazu Iwatate, Hideto Kazawa
2012 — conf
Robust Active Learning for Linear Regression via Density Power Divergence.
ICONIP (3)
Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio
2012 J jnl
Separation of stationary and non-stationary sources with a generalized eigenvalue problem.
Neural Networks
Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto
2012 J jnl
Special issue on the best papers of SDM'11.
Stat. Anal. Data Min.
Chris Clifton, Takashi Washio
2012 — conf
Weighted Likelihood Policy Search with Model Selection.
NIPS
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara
2011 — conf
Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID.
ICDM Workshops
Shinya Miyazaki, Takashi Washio, Katsutoshi Yada
2011 J jnl
Analyzing relationships among ARMA processes based on non-Gaussianity of external influences.
Neurocomputing
Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio
2011 — conf
Common Substructure Learning of Multiple Graphical Gaussian Models.
ECML/PKDD (2)
Satoshi Hara, Takashi Washio
2011 A* conf
Density Estimation Based on Mass.
ICDM
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu
2011 J jnl
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.
J. Mach. Learn. Res.
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen
2011 A conf
Discovering causal structures in binary exclusive-or skew acyclic models.
UAI
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
2011 J jnl
Estimating exogenous variables in data with more variables than observations.
Neural Networks
Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto
2011 J jnl
GTRACE-RS: Efficient Graph Sequence Mining using Reverse Search
CoRR
Akihiro Inokuchi, Hiroaki Ikuta, Takashi Washio
2011 — conf
Prismatic Algorithm for Discrete D.C. Programming Problem.
NIPS
Yoshinobu Kawahara, Takashi Washio
2011 J jnl
Prismatic Algorithm for Discrete D.C. Programming Problems
CoRR
Yoshinobu Kawahara, Takashi Washio
2010 J jnl
A new particle filter for high-dimensional state-space models based on intensive and extensive proposal distribution.
Int. J. Knowl. Eng. Soft Data Paradigms
Viet Phuong Nguyen, Takashi Washio, Tomoyuki Higuchi
2010 B conf
An experimental comparison of linear non-Gaussian causal discovery methods and their variants.
IJCNN
Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio
2010 J jnl
Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008).
Knowl. Inf. Syst.
Takashi Washio, Einoshin Suzuki, Kai Ming Ting
2010 Misc conf
Development of Data Mining Platform MUSASHI Towards Service Computing.
GrC
Kohei Ichikawa, Katsutoshi Yada, Takashi Washio
2010 — conf
Discovery of Exogenous Variables in Data with More Variables Than Observations.
ICANN (1)
Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto
2010 — conf
GTRACE2: Improving Performance Using Labeled Union Graphs.
PAKDD (2)
Akihiro Inokuchi, Takashi Washio
2010 J jnl
GTRACE: Mining Frequent Subsequences from Graph Sequences.
IEICE Trans. Inf. Syst.
Akihiro Inokuchi, Takashi Washio
2010 B conf
Graph Classification Based on Optimizing Graph Spectra.
Discovery Science
Nguyen Duy Vinh, Akihiro Inokuchi, Takashi Washio
2010 J jnl
GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables
CoRR
Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu, Takashi Washio
2010 A conf
Mining Frequent Graph Sequence Patterns Induced by Vertices.
SDM
Akihiro Inokuchi, Takashi Washio
2010 J jnl
Modelling deposit outflow in financial crises: application to branch management and customer relationship management.
Int. J. Adv. Intell. Paradigms
Katsutoshi Yada, Takashi Washio, Yasuharu Ukai
2010 — conf
Stationary Subspace Analysis as a Generalized Eigenvalue Problem.
ICONIP (1)
Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau
2010 — conf
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models.
LVA/ICA
Takanori Inazumi, Shohei Shimizu, Takashi Washio
2009 C ed.
Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings
ACML
Zhi-Hua Zhou, Takashi Washio
2009 J jnl
Modeling Bank Runs in Financial Crises.
Rev. Socionetwork Strateg.
Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka
2009 — ed.
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers
PAKDD Workshops
Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi
2009 — conf
Optimization of Budget Allocation for TV Advertising.
KES (2)
Kohei Ichikawa, Katsutoshi Yada, Namiko Nakachi, Takashi Washio
2009 J jnl
Special Issue on Data-Mining and Statistical Science.
New Gener. Comput.
Takashi Washio
2008 — conf
A Bank Run Model in Financial Crises.
KES (2)
Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka
2008 A* conf
A Fast Method to Mine Frequent Subsequences from Graph Sequence Data.
ICDM
Akihiro Inokuchi, Takashi Washio
2008 A conf
A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation.
SDM
Kentarou Kido, Hiroshi Kuwajima, Takashi Washio
2008 B ed.
Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings
PAKDD
Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi
2008 — ed.
Applications of Data Mining in E-Business and Finance
DMBiz@PAKDD
Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou
2008 J jnl
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm.
IEEE Trans. Knowl. Data Eng.
Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda
2008 J jnl
Modeling dynamic substate chains among massive states.
Intell. Data Anal.
Viet Phuong Nguyen, Takashi Washio
2008 C conf
Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining.
PKAW
Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio
2007 J jnl
A Classification Method Based on Subspace Clustering and Association Rules.
New Gener. Comput.
Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda
2007 J jnl
Applications eligible for data mining.
Adv. Eng. Informatics
Takashi Washio
2007 — conf
Applications of Data Mining in E-Business Finance: Introduction.
DMBiz@PAKDD
Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou
2007 — ch.
Communicability Criteria of Law Equations Discovery.
Computational Discovery of Scientific Knowledge
Takashi Washio, Hiroshi Motoda
2007 — conf
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs.
MLG
Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi
2007 — ed.
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers
PAKDD Workshops
Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire
2007 — conf
International Workshop on Risk Informatics (RI2007).
JSAI
Takashi Washio, Shusaku Tsumoto
2007 — ed.
New Frontiers in Artificial Intelligence, JSAI 2006 Conference and Workshops, Tokyo, Japan, June 5-9 2006, Revised Selected Papers
JSAI
Takashi Washio, Ken Satoh, Hideaki Takeda, Akihiro Inokuchi
2007 — conf
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.
ICDM Workshops
Kun Zhao, Ying-jie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio
2007 J jnl
Scientific Discovery of Dynamic Models Based on Scale-type Constraints.
Inf. Media Technol.
Fuminori Adachi, Takashi Washio, Hiroshi Motoda
2006 — conf
A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis.
ICDM Workshops
Kenta Fukata, Takashi Washio, Hiroshi Motoda
2006 J jnl
A study on rough set-aided feature selection for automatic web-page classification.
Web Intell. Agent Syst.
Toshiko Wakaki, Hiroyuki Itakura, Masaki Tamura, Hiroshi Motoda, Takashi Washio
2006 — conf
Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques.
JSAI
Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda, Takashi Okada
2006 B conf
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction.
PAKDD
Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio
2006 C conf
Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search.
PKAW
Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
2006 — conf
Modeling Dynamic Substate Chains among Massive States for Prediction.
ICDM Workshops
Viet Phuong Nguyen, Takashi Washio
2006 — ed.
New Frontiers in Artificial Intelligence, Joint JSAI 2005 Workshop Post-Proceedings
JSAI Workshops
Takashi Washio, Akito Sakurai, Katsuto Nakajima, Hideaki Takeda, Satoshi Tojo, Makoto Yokoo
2006 — conf
Risk Mining - Overview.
JSAI
Shusaku Tsumoto, Takashi Washio
2005 — conf
A Framework of Numerical Basket Analysis.
SAINT Workshops
Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda
2005 J jnl
A General Framework for Mining Frequent Subgraphs from Labeled Graphs.
Fundam. Informaticae
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
2005 J jnl
Advances in Mining Graphs, Trees and Sequences.
Fundam. Informaticae
Takashi Washio, Luc De Raedt, Joost N. Kok
2005 B conf
Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data.
PAKDD
Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
2005 — conf
Deriving Class Association Rules Based on Levelwise Subspace Clustering.
PKDD
Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda
2005 A* conf
Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics.
IJCAI
Takashi Washio, Fuminori Adachi, Hiroshi Motoda
2005 A* conf
Efficient Mining of High Branching Factor Attribute Trees.
ICDM
Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda
2005 J jnl
Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models.
J. Exp. Theor. Artif. Intell.
Takashi Washio, Hiroshi Motoda, Yuji Niwa
2005 — conf
Memory Management of Density-Based Spam Detector.
SAINT
Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki
2005 A* conf
Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering.
ICDM
Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda
2005 J jnl
Multi-structure Information Retrieval Method Based on Transformation Invariance.
New Gener. Comput.
Fuminori Adachi, Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda, Hidemitsu Hanafusa
2005 — conf
Mutagenicity Risk Analysis by Using Class Association Rules.
JSAI Workshops
Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada
2005 — conf
Refining diagnostic knowledge extracted from interferon therapy by graph-based induction.
AMT
Tetsuya Yoshida, Akira Mogi, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
2005 B conf
SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos.
Discovery Science
Takashi Washio, Fuminori Adachi, Hiroshi Motoda
2004 J jnl
Adaptive Ripple Down Rules method based on minimum description length principle.
Intell. Data Anal.
Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio
2004 — conf
Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction.
JSAI Workshops
Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi
2004 B conf
Consumer Behavior Analysis by Graph Mining Technique.
KES
Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, Asuka Miyawaki
2004 J jnl
Density-Based Spam Detector.
IEICE Trans. Inf. Syst.
Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki
2004 A* conf
Density-based spam detector.
KDD
Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki
2004 — conf
Using a Hash-Based Method for Apriori-Based Graph Mining.
PKDD
Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda
2003 B conf
Classifier Construction by Graph-Based Induction for Graph-Structured Data.
PAKDD
Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
2003 J jnl
Complete Mining of Frequent Patterns from Graphs: Mining Graph Data.
Mach. Learn.
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
2003 — conf
Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI.
Active Mining
Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima, Takaya Ikeda
2003 C conf
Development of Generic Search Method Based on Transformation Invariance.
ISMIS
Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, Hidemitsu Hanafusa
2003 — conf
Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction.
Active Mining
Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi
2003 B conf
Performance Evaluation of Decision Tree Graph-Based Induction.
Discovery Science
Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
2003 J jnl
State of the art of graph-based data mining.
SIGKDD Explor.
Takashi Washio, Hiroshi Motoda
2002 A* conf
Adaptive Ripple Down Rules Method based on Minimum Description Length Principle.
ICDM
Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
2002 J jnl
Attribute Generation Based on Association Rules.
Knowl. Inf. Syst.
Masahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai, Tetsuo Sawaragi
2002 B conf
Case Generation Method for Constructing an RDR Knowledge Base.
PRICAI
Keisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
2002 B conf
Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data.
PRICAI
Takuya Wada, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
2002 J jnl
Graph-based induction and its applications.
Adv. Eng. Informatics
Takashi Matsuda, Hiroshi Motoda, Takashi Washio
2002 — conf
Inductive Thermodynamics from Time Series Data Analysis.
Progress in Discovery Science
Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya
2002 B conf
Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction.
PRICAI
Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio
2002 B conf
Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction.
Discovery Science
Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio
2002 — conf
Toward the Discovery of First Principle Based Scientific Law Equations.
Progress in Discovery Science
Takashi Washio, Hiroshi Motoda
2001 J jnl
A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method.
Knowl. Inf. Syst.
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
2001 — conf
Automatic Web-Page Classification by Using Machine Learning Methods.
Web Intelligence
Makoto Tsukada, Takashi Washio, Hiroshi Motoda
2001 — conf
Basket Analysis on Meningitis Data.
JSAI Workshops
Takayuki Ikeda, Takashi Washio, Hiroshi Motoda
2001 — conf
Discovering Admissible Simultaneous Equation Models from Observed Data.
ECML
Takashi Washio, Hiroshi Motoda, Yuji Niwa
2001 — conf
JSAI KDD Challenge 2001: JKDD01.
JSAI Workshops
Takashi Washio
2001 B conf
Knowledge Acquisition from Both Human Expert and Data.
PAKDD
Takuya Wada, Hiroshi Motoda, Takashi Washio
2001 — ed.
New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings
JSAI Workshops
Takao Terano, Toyoaki Nishida, Akira Namatame, Shusaku Tsumoto, Yukio Ohsawa, Takashi Washio
2001 B conf
S
IDA
Masahiro Terabe, Takashi Washio, Hiroshi Motoda
2000 — conf
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data.
PKDD
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
2000 A* conf
Enhancing the Plausibility of Law Equation Discovery.
ICML
Takashi Washio, Hiroshi Motoda, Yuji Niwa
2000 B conf
Extension of Graph-Based Induction for General Graph Structured Data.
PAKDD
Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
2000 B conf
Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data.
Discovery Science
Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
2000 B conf
Nonequilibrium Thermodynamics from Time Series Data Analysis.
Discovery Science
Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya, Takeshi Saito
1999 B conf
"Thermodynamics" from Time Series Data Analysis.
Discovery Science
Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya
1999 B conf
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree.
PAKDD
Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda
1999 J jnl
Autonomous Recovery Execution in Nuclear Power Plant by the Agent.
Cogn. Technol. Work.
Yuji Niwa, Masahiro Terabe, Takashi Washio
1999 B conf
Basket Analysis for Graph Structured Data.
PAKDD
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai
1999 B conf
Characterization of Default Knowledge in Ripple Down Rules Method.
PAKDD
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
1999 B conf
Derivation of the Topology Structure from Massive Graph Data.
Discovery Science
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
1999 A* conf
Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains.
IJCAI
Takashi Washio, Hiroshi Motoda, Yuji Niwa
1999 B conf
Graph-Based Induction for General Graph Structured Data.
Discovery Science
Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio, Kohei Kumazawa, Naohide Arai
1998 B conf
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems.
Discovery Science
Takashi Washio, Hiroshi Motoda
1998 — conf
Discovering Admissible Simultaneous Equations of Large Scale Systems.
AAAI/IAAI
Takashi Washio, Hiroshi Motoda
1998 J jnl
Discovery of first-principle equations based on scale-type-based and data-driven reasoning.
Knowl. Based Syst.
Takashi Washio, Hiroshi Motoda
1998 J jnl
Flexible Multiple Semicoarsening for Three-Dimensional Singularly Perturbed Problems.
SIAM J. Sci. Comput.
Takashi Washio, Cornelis W. Oosterlee
1998 B conf
Mining Association Rules for Estimation and Prediction.
PAKDD
Takashi Washio, Hiroshi Motoda
1997 J jnl
A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors.
Artif. Intell.
Takashi Washio, Masatake Sakuma, Masaharu Kitamura
1997 — conf
Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints.
IJCAI (2)
Takashi Washio, Hiroshi Motoda
1996 B conf
A History-Oriented Envisioning Method.
PRICAI
Takashi Washio, Hiroshi Motoda
1996 — conf
A Study of Organizational Learning in Multi-Agent Systems.
ECAI Workshop LDAIS / ICMAS Workshop LIOME
Masahiro Terabe, Takashi Washio, Osamu Katai, Tetsuo Sawaragi
1996 J jnl
Real Applications on the New Parallel System NEC Cenju-3.
Parallel Comput.
Rolf Hempel, Robin Calkin, Reinhold Hess, Wolfgang Joppich, Cornelis W. Oosterlee, Hubert Ritzdorf, Peter Wypior, Wolfgang Ziegler, Nubohiko Koike, Takashi Washio, Udo Keller