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2020 – today
- 2024
[j55]Kai Ming Ting, Takashi Washio, Ye Zhu
, Yang Xu, Kaifeng Zhang:
Is it possible to find the single nearest neighbor of a query in high dimensions? Artif. Intell. 336: 104206 (2024)- 2023
- [j54]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu:
Isolation Kernel Estimators. Knowl. Inf. Syst. 65(2): 759-787 (2023) - [j53]Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections. IEEE Trans. Knowl. Data Eng. 35(3): 2697-2710 (2023) - 2022
- [e14]Xingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE 2022, ISBN 978-1-6654-5099-7 [contents] - [e13]K. Selçuk Candan, Thang N. Dinh, My T. Thai, Takashi Washio:
IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE 2022, ISBN 979-8-3503-4609-1 [contents] - 2021
- [j52]Kai Ming Ting, Jonathan R. Wells, Takashi Washio:
Isolation kernel: the X factor in efficient and effective large scale online kernel learning. Data Min. Knowl. Discov. 35(6): 2282-2312 (2021) - [j51]Takeshi Yoshida, Takashi Washio, Takahito Ohshiro, Masateru Taniguchi:
Classification from positive and unlabeled data based on likelihood invariance for measurement. Intell. Data Anal. 25(1): 57-79 (2021) - [c103]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang:
Isolation Kernel Density Estimation. ICDM 2021: 619-628 - [i13]Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu:
Breaking the curse of dimensionality with Isolation Kernel. CoRR abs/2109.14198 (2021) - 2020
- [j50]Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari:
A comparative study of data-dependent approaches without learning in measuring similarities of data objects. Data Min. Knowl. Discov. 34(1): 124-162 (2020) - [c102]Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection. KDD 2020: 198-206 - [i12]Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection. CoRR abs/2009.12196 (2020)
2010 – 2019
- 2019
- [j49]Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou:
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Mach. Learn. 108(2): 331-376 (2019) - [j48]Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf:
Analysis of cause-effect inference by comparing regression errors. PeerJ Comput. Sci. 5: e169 (2019) - [c101]Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai:
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. ACML 2019: 694-709 - [c100]Atsushi Shunori, Rui Yatabe, Bartosz Wyszynski, Yosuke Hanai, Atsuo Nakao, Masaya Nakatani, Akio Oki, Hiroaki Oka, Takashi Washio, Kiyoshi Toko:
Multichannel Odor Sensor System using Chemosensitive Resistors and Machine Learning. ISOEN 2019: 1-3 - [i11]Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari:
A new simple and effective measure for bag-of-word inter-document similarity measurement. CoRR abs/1902.03402 (2019) - [i10]Kai Ming Ting, Jonathan R. Wells, Takashi Washio:
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning. CoRR abs/1907.01104 (2019) - 2018
- [j47]Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu:
Local contrast as an effective means to robust clustering against varying densities. Mach. Learn. 107(8-10): 1621-1645 (2018) - [c99]Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf:
Cause-Effect Inference by Comparing Regression Errors. AISTATS 2018: 900-909 - [c98]Kai Ming Ting, Sunil Aryal, Takashi Washio:
Which Outlier Detector Should I use? ICDM 2018: 8 - [c97]Keiichi Kisamori, Takashi Washio, Yoshio Kameda, Ryohei Fujimaki:
A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light Analysis. SDM 2018: 567-575 - [i9]Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf:
Analysis of Cause-Effect Inference via Regression Errors. CoRR abs/1802.06698 (2018) - [i8]Yuka Yoneda, Mahito Sugiyama, Takashi Washio:
Learning Graph Representation via Formal Concept Analysis. CoRR abs/1812.03395 (2018) - [i7]Kai Ming Ting, Takashi Washio, Ata Kabán:
Data Dependent Dissimilarity Measures (NII Shonan Meeting 2018-13). NII Shonan Meet. Rep. 2018 (2018) - 2017
- [j46]Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari:
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures. Knowl. Inf. Syst. 53(2): 479-506 (2017) - [j45]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Sunil Aryal:
Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors. Mach. Learn. 106(1): 55-91 (2017) - [c96]Takashi Washio, Gaku Imamura, Genki Yoshikawa:
Machine Learning Independent of Population Distributions for Measurement. DSAA 2017: 212-221 - [c95]Patrick Blöbaum, Shohei Shimizu, Takashi Washio:
A novel principle for causal inference in data with small error variance. ESANN 2017 - 2016
- [j44]James Bailey, Latifur Khan, Takashi Washio:
Data science in Asia (for PAKDD 2016). Int. J. Data Sci. Anal. 2(3-4): 93-94 (2016) - [j43]Marina Demeshko, Takashi Washio, Yoshinobu Kawahara, Yuriy Pepyolyshev:
A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis. ACM Trans. Intell. Syst. Technol. 7(2): 24:1-24:22 (2016) - [e12]James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9651, Springer 2016, ISBN 978-3-319-31752-6 [contents] - [e11]James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9652, Springer 2016, ISBN 978-3-319-31749-6 [contents] - [r1]Takashi Washio:
Frequent Graph Mining. Encyclopedia of Algorithms 2016: 782-785 - [i6]Patrick Blöbaum, Takashi Washio, Shohei Shimizu:
Error Asymmetry in Causal and Anticausal Regression. CoRR abs/1610.03263 (2016) - 2015
- [j42]Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari:
Half-space mass: a maximally robust and efficient data depth method. Mach. Learn. 100(2-3): 677-699 (2015) - [c94]Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio:
Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure. AIRS 2015: 400-406 - [c93]Kazuhiro Yasunami, Takashi Washio:
An accuracy evaluation of PV power output estimation method using covariance between solar radiation intensity and power flow. ISGT Asia 2015: 1-6 - [c92]Patrick Blöbaum, Shohei Shimizu, Takashi Washio:
Discriminative and Generative Models in Causal and Anticausal Settings. AMBN@JSAI-isAI 2015: 209-221 - 2014
- [j41]Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio:
ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders. Neural Comput. 26(1): 57-83 (2014) - [j40]Jonathan R. Wells, Kai Ming Ting, Takashi Washio:
LiNearN: A new approach to nearest neighbour density estimator. Pattern Recognit. 47(8): 2702-2720 (2014) - [c91]Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio:
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure. ICDM 2014: 707-712 - [c90]Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio:
Improving iForest with Relative Mass. PAKDD (2) 2014: 510-521 - [i5]Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara:
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM. CoRR abs/1401.5636 (2014) - 2013
- [j39]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, Sunil Aryal:
DEMass: a new density estimator for big data. Knowl. Inf. Syst. 35(3): 493-524 (2013) - [j38]Satoshi Hara, Takashi Washio:
Learning a common substructure of multiple graphical Gaussian models. Neural Networks 38: 23-38 (2013) - [j37]Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio:
Active learning for noisy oracle via density power divergence. Neural Networks 46: 133-143 (2013) - [c89]Marina Demeshko, Takashi Washio, Yoshinobu Kawahara:
A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System. ICDM Workshops 2013: 104-113 - [c88]Christiane Kamdem Kengne, Léon Constantin Fopa, Alexandre Termier, Noha Ibrahim, Marie-Christine Rousset, Takashi Washio, Miguel Santana:
Efficiently rewriting large multimedia application execution traces with few event sequences. KDD 2013: 1348-1356 - [c87]Kento Kadowaki, Shohei Shimizu, Takashi Washio:
Estimation of causal structures in longitudinal data using non-Gaussianity. MLSP 2013: 1-6 - [e10]Wei Ding, Takashi Washio, Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu:
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013. IEEE Computer Society 2013, ISBN 978-0-7695-5109-8 [contents] - [e9]Takashi Washio, Jun Luo:
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. Lecture Notes in Computer Science 7769, Springer 2013, ISBN 978-3-642-36777-9 [contents] - 2012
- [j36]Akihiro Inokuchi, Takashi Washio:
FRISSMiner: Mining Frequent Graph Sequence Patterns Induced by Vertices. IEICE Trans. Inf. Syst. 95-D(6): 1590-1602 (2012) - [j35]Akihiro Inokuchi, Hiroaki Ikuta, Takashi Washio:
Efficient Graph Sequence Mining Using Reverse Search. IEICE Trans. Inf. Syst. 95-D(7): 1947-1958 (2012) - [j34]Hiroshi Kuwajima, Takashi Washio, Ee-Peng Lim:
Fast and Accurate PSD Matrix Estimation by Row Reduction. IEICE Trans. Inf. Syst. 95-D(11): 2599-2612 (2012) - [j33]Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto:
Separation of stationary and non-stationary sources with a generalized eigenvalue problem. Neural Networks 33: 7-20 (2012) - [j32]Chris Clifton, Takashi Washio:
Special issue on the best papers of SDM'11. Stat. Anal. Data Min. 5(1): 1-2 (2012) - [c86]Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio:
Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders. ICANN (1) 2012: 491-498 - [c85]Satoshi Hara, Takashi Washio:
Anomalous Neighborhood Selection. ICDM Workshops 2012: 474-480 - [c84]Christiane Kamdem Kengne, Léon Constantin Fopa, Noha Ibrahim, Alexandre Termier, Marie-Christine Rousset, Takashi Washio:
Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner. ICDM Workshops 2012: 595-602 - [c83]Kittitat Thamvitayakul, Shohei Shimizu, Tsuyoshi Ueno, Takashi Washio, Tatsuya Tashiro:
Bootstrap Confidence Intervals in DirectLiNGAM. ICDM Workshops 2012: 659-668 - [c82]Satoshi Hara, Takashi Washio:
Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method. ICONIP (3) 2012: 108-115 - [c81]Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio:
Robust Active Learning for Linear Regression via Density Power Divergence. ICONIP (3) 2012: 594-602 - [c80]Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara:
Weighted Likelihood Policy Search with Model Selection. NIPS 2012: 2366-2374 - [c79]Akihiro Inokuchi, Ayumu Yamaoka, Takashi Washio, Yuji Matsumoto, Masayuki Asahara, Masakazu Iwatate, Hideto Kazawa:
Mining Rules for Rewriting States in a Transition-Based Dependency Parser. PRICAI 2012: 133-145 - [i4]Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara:
Discovering causal structures in binary exclusive-or skew acyclic models. CoRR abs/1202.3736 (2012) - 2011
- [j31]Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio:
Analyzing relationships among ARMA processes based on non-Gaussianity of external influences. Neurocomputing 74(12-13): 2212-2221 (2011) - [j30]Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen:
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. J. Mach. Learn. Res. 12: 1225-1248 (2011) - [j29]Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto:
Estimating exogenous variables in data with more variables than observations. Neural Networks 24(8): 875-880 (2011) - [c78]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu:
Density Estimation Based on Mass. ICDM 2011: 715-724 - [c77]Shinya Miyazaki, Takashi Washio, Katsutoshi Yada:
Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID. ICDM Workshops 2011: 1170-1176 - [c76]Yoshinobu Kawahara, Takashi Washio:
Prismatic Algorithm for Discrete D.C. Programming Problem. NIPS 2011: 2106-2114 - [c75]Satoshi Hara, Takashi Washio:
Common Substructure Learning of Multiple Graphical Gaussian Models. ECML/PKDD (2) 2011: 1-16 - [c74]Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara:
Discovering causal structures in binary exclusive-or skew acyclic models. UAI 2011: 373-382 - [i3]Yoshinobu Kawahara, Takashi Washio:
Prismatic Algorithm for Discrete D.C. Programming Problems. CoRR abs/1108.4217 (2011) - [i2]Akihiro Inokuchi, Hiroaki Ikuta, Takashi Washio:
GTRACE-RS: Efficient Graph Sequence Mining using Reverse Search. CoRR abs/1110.3879 (2011) - 2010
- [j28]Akihiro Inokuchi, Takashi Washio:
GTRACE: Mining Frequent Subsequences from Graph Sequences. IEICE Trans. Inf. Syst. 93-D(10): 2792-2804 (2010) - [j27]Katsutoshi Yada, Takashi Washio, Yasuharu Ukai:
Modelling deposit outflow in financial crises: application to branch management and customer relationship management. Int. J. Adv. Intell. Paradigms 2(2/3): 254-270 (2010) - [j26]Viet Phuong Nguyen, Takashi Washio, Tomoyuki Higuchi:
A new particle filter for high-dimensional state-space models based on intensive and extensive proposal distribution. Int. J. Knowl. Eng. Soft Data Paradigms 2(4): 284-311 (2010) - [j25]Takashi Washio, Einoshin Suzuki, Kai Ming Ting:
Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008). Knowl. Inf. Syst. 25(2): 209-210 (2010) - [c73]Nguyen Duy Vinh, Akihiro Inokuchi, Takashi Washio:
Graph Classification Based on Optimizing Graph Spectra. Discovery Science 2010: 205-220 - [c72]Kohei Ichikawa, Katsutoshi Yada, Takashi Washio:
Development of Data Mining Platform MUSASHI Towards Service Computing. GrC 2010: 235-240 - [c71]Takanori Inazumi, Shohei Shimizu, Takashi Washio:
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models. LVA/ICA 2010: 221-228 - [c70]Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto:
Discovery of Exogenous Variables in Data with More Variables Than Observations. ICANN (1) 2010: 67-76 - [c69]Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau:
Stationary Subspace Analysis as a Generalized Eigenvalue Problem. ICONIP (1) 2010: 422-429 - [c68]Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio:
An experimental comparison of linear non-Gaussian causal discovery methods and their variants. IJCNN 2010: 1-8 - [c67]Akihiro Inokuchi, Takashi Washio:
GTRACE2: Improving Performance Using Labeled Union Graphs. PAKDD (2) 2010: 178-188 - [c66]Akihiro Inokuchi, Takashi Washio:
Mining Frequent Graph Sequence Patterns Induced by Vertices. SDM 2010: 466-477 - [i1]Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu, Takashi Washio:
GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables. CoRR abs/1006.5041 (2010)
2000 – 2009
- 2009
- [j24]Takashi Washio:
Special Issue on Data-Mining and Statistical Science. New Gener. Comput. 27(4): 281-284 (2009) - [j23]Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka:
Modeling Bank Runs in Financial Crises. Rev. Socionetwork Strateg. 3(1): 19-31 (2009) - [c65]Kohei Ichikawa, Katsutoshi Yada, Namiko Nakachi, Takashi Washio:
Optimization of Budget Allocation for TV Advertising. KES (2) 2009: 270-277 - [e8]Zhi-Hua Zhou, Takashi Washio:
Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings. Lecture Notes in Computer Science 5828, Springer 2009, ISBN 978-3-642-05223-1 [contents] - [e7]Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi:
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers. Lecture Notes in Computer Science 5433, Springer 2009, ISBN 978-3-642-00398-1 [contents] - 2008
- [j22]Viet Phuong Nguyen, Takashi Washio:
Modeling dynamic substate chains among massive states. Intell. Data Anal. 12(3): 271-291 (2008) - [j21]Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda:
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm. IEEE Trans. Knowl. Data Eng. 20(3): 300-320 (2008) - [c64]Akihiro Inokuchi, Takashi Washio:
A Fast Method to Mine Frequent Subsequences from Graph Sequence Data. ICDM 2008: 303-312 - [c63]Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka:
A Bank Run Model in Financial Crises. KES (2) 2008: 703-710 - [c62]Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio:
Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. PKAW 2008: 50-60 - [c61]Kentarou Kido, Hiroshi Kuwajima, Takashi Washio:
A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation. SDM 2008: 387-398 - [e6]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business and Finance. Frontiers in Artificial Intelligence and Applications 177, IOS Press 2008, ISBN 978-1-58603-890-8 [contents] - [e5]Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi:
Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings. Lecture Notes in Computer Science 5012, Springer 2008, ISBN 978-3-540-68124-3 [contents] - 2007
- [j20]Takashi Washio:
Applications eligible for data mining. Adv. Eng. Informatics 21(3): 241-242 (2007) - [j19]Fuminori Adachi, Takashi Washio, Hiroshi Motoda:
Scientific Discovery of Dynamic Models Based on Scale-type Constraints. Inf. Media Technol. 2(1): 40-52 (2007) - [j18]Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda:
A Classification Method Based on Subspace Clustering and Association Rules. New Gener. Comput. 25(3): 235-245 (2007) - [c60]Kun Zhao, Ying-Jie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio:
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. ICDM Workshops 2007: 331-336 - [c59]Takashi Washio, Shusaku Tsumoto:
International Workshop on Risk Informatics (RI2007). JSAI 2007: 245-246 - [c58]Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi:
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. MLG 2007 - [c57]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business Finance: Introduction. DMBiz@PAKDD 2007: 1-9 - [p1]Takashi Washio, Hiroshi Motoda:
Communicability Criteria of Law Equations Discovery. Computational Discovery of Scientific Knowledge 2007: 98-119 - [e4]Takashi Washio, Ken Satoh, Hideaki Takeda, Akihiro Inokuchi:
New Frontiers in Artificial Intelligence, JSAI 2006 Conference and Workshops, Tokyo, Japan, June 5-9 2006, Revised Selected Papers. Lecture Notes in Computer Science 4384, Springer 2007, ISBN 3-540-69901-5 [contents] - [e3]Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire:
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4819, Springer 2007, ISBN 978-3-540-77016-9 [contents] - 2006
- [j17]Toshiko Wakaki, Hiroyuki Itakura, Masaki Tamura, Hiroshi Motoda, Takashi Washio:
A study on rough set-aided feature selection for automatic web-page classification. Web Intell. Agent Syst. 4(4): 431-441 (2006) - [c56]Viet Phuong Nguyen, Takashi Washio:
Modeling Dynamic Substate Chains among Massive States for Prediction. ICDM Workshops 2006: 484-489 - [c55]Kenta Fukata, Takashi Washio, Hiroshi Motoda:
A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. ICDM Workshops 2006: 590-595 - [c54]Shusaku Tsumoto, Takashi Washio:
Risk Mining - Overview. JSAI 2006: 303-304 - [c53]Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda, Takashi Okada:
Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques. JSAI 2006: 305-316 - [c52]Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio:
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. PAKDD 2006: 390-399 - [c51]Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio:
Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. PKAW 2006: 64-74 - [e2]Takashi Washio, Akito Sakurai, Katsuto Nakajima, Hideaki Takeda, Satoshi Tojo, Makoto Yokoo:
New Frontiers in Artificial Intelligence, Joint JSAI 2005 Workshop Post-Proceedings. Lecture Notes in Computer Science 4012, Springer 2006, ISBN 3-540-35470-0 [contents] - 2005
- [j16]Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda:
A General Framework for Mining Frequent Subgraphs from Labeled Graphs. Fundam. Informaticae 66(1-2): 53-82 (2005) - [j15]Takashi Washio, Luc De Raedt, Joost N. Kok:
Advances in Mining Graphs, Trees and Sequences. Fundam. Informaticae 66(1-2) (2005) - [j14]Takashi Washio, Hiroshi Motoda, Yuji Niwa:
Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models. J. Exp. Theor. Artif. Intell. 17(1-2): 129-143 (2005) - [j13]Fuminori Adachi, Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda, Hidemitsu Hanafusa:
Multi-structure Information Retrieval Method Based on Transformation Invariance. New Gener. Comput. 23(4): 291-313 (2005) - [c50]Tetsuya Yoshida, Akira Mogi, Kouzou Ohara, Hiroshi Motoda, Takashi Washio:
Refining diagnostic knowledge extracted from interferon therapy by graph-based induction. AMT 2005: 63-68 - [c49]Takashi Washio, Fuminori Adachi, Hiroshi Motoda:
SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. Discovery Science 2005: 253-266 - [c48]Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda:
Efficient Mining of High Branching Factor Attribute Trees. ICDM 2005: 785-788 - [c47]Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda:
Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering. ICDM 2005: 793-796 - [c46]Takashi Washio, Fuminori Adachi, Hiroshi Motoda:
Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics. IJCAI 2005: 1642-1644 - [c45]Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada:
Mutagenicity Risk Analysis by Using Class Association Rules. JSAI Workshops 2005: 436-445 - [c44]Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio:
Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. PAKDD 2005: 639-649 - [c43]Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda:
Deriving Class Association Rules Based on Levelwise Subspace Clustering. PKDD 2005: 692-700 - [c42]Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda:
A Framework of Numerical Basket Analysis. SAINT Workshops 2005: 340-343 - [c41]Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki:
Memory Management of Density-Based Spam Detector. SAINT 2005: 370-376 - 2004
- [j12]Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio:
Adaptive Ripple Down Rules method based on minimum description length principle. Intell. Data Anal. 8(3): 239-265 (2004) - [j11]Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki:
Density-Based Spam Detector. IEICE Trans. Inf. Syst. 87-D(12): 2678-2688 (2004) - [c40]Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi:
Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction. JSAI Workshops 2004: 5-28 - [c39]Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki:
Density-based spam detector. KDD 2004: 486-493 - [c38]Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, Asuka Miyawaki:
Consumer Behavior Analysis by Graph Mining Technique. KES 2004: 800-806 - [c37]Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda:
Using a Hash-Based Method for Apriori-Based Graph Mining. PKDD 2004: 349-361 - 2003
- [j10]Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda:
Complete Mining of Frequent Patterns from Graphs: Mining Graph Data. Mach. Learn. 50(3): 321-354 (2003) - [j9]Takashi Washio, Hiroshi Motoda:
State of the art of graph-based data mining. SIGKDD Explor. 5(1): 59-68 (2003) - [c36]Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi:
Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction. Active Mining 2003: 126-151 - [c35]Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima, Takaya Ikeda:
Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI. Active Mining 2003: 152-173 - [c34]Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
Performance Evaluation of Decision Tree Graph-Based Induction. Discovery Science 2003: 128-140 - [c33]Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, Hidemitsu Hanafusa:
Development of Generic Search Method Based on Transformation Invariance. ISMIS 2003: 486-495 - [c32]Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
Classifier Construction by Graph-Based Induction for Graph-Structured Data. PAKDD 2003: 52-62 - 2002
- [j8]Takashi Matsuda, Hiroshi Motoda, Takashi Washio:
Graph-based induction and its applications. Adv. Eng. Informatics 16(2): 135-143 (2002) - [j7]Masahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai, Tetsuo Sawaragi:
Attribute Generation Based on Association Rules. Knowl. Inf. Syst. 4(3): 329-349 (2002) - [c31]Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio:
Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. Discovery Science 2002: 422-429 - [c30]Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya:
Inductive Thermodynamics from Time Series Data Analysis. Progress in Discovery Science 2002: 384-394 - [c29]Takashi Washio, Hiroshi Motoda:
Toward the Discovery of First Principle Based Scientific Law Equations. Progress in Discovery Science 2002: 553-564 - [c28]Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. ICDM 2002: 530-537 - [c27]Takuya Wada, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data. PRICAI 2002: 218-227 - [c26]Keisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
Case Generation Method for Constructing an RDR Knowledge Base. PRICAI 2002: 228-237 - [c25]Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio:
Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction. PRICAI 2002: 255-264 - 2001
- [j6]Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method. Knowl. Inf. Syst. 3(2): 146-167 (2001) - [c24]Takashi Washio, Hiroshi Motoda, Yuji Niwa:
Discovering Admissible Simultaneous Equation Models from Observed Data. ECML 2001: 539-551 - [c23]Masahiro Terabe, Takashi Washio, Hiroshi Motoda:
S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging. IDA 2001: 177-186 - [c22]Takashi Washio:
JSAI KDD Challenge 2001: JKDD01. JSAI Workshops 2001: 499 - [c21]Takayuki Ikeda, Takashi Washio, Hiroshi Motoda:
Basket Analysis on Meningitis Data. JSAI Workshops 2001: 516-524 - [c20]Takuya Wada, Hiroshi Motoda, Takashi Washio:
Knowledge Acquisition from Both Human Expert and Data. PAKDD 2001: 550-561 - [c19]Makoto Tsukada, Takashi Washio, Hiroshi Motoda:
Automatic Web-Page Classification by Using Machine Learning Methods. Web Intelligence 2001: 303-313 - [e1]Takao Terano, Toyoaki Nishida, Akira Namatame, Shusaku Tsumoto, Yukio Ohsawa, Takashi Washio:
New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings. Lecture Notes in Computer Science 2253, Springer 2001, ISBN 3-540-43070-9 [contents] - 2000
- [c18]Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data. Discovery Science 2000: 99-111 - [c17]Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya, Takeshi Saito:
Nonequilibrium Thermodynamics from Time Series Data Analysis. Discovery Science 2000: 304-305 - [c16]Takashi Washio, Hiroshi Motoda, Yuji Niwa:
Enhancing the Plausibility of Law Equation Discovery. ICML 2000: 1127-1134 - [c15]Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
Extension of Graph-Based Induction for General Graph Structured Data. PAKDD 2000: 420-431 - [c14]Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda:
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data. PKDD 2000: 13-23
1990 – 1999
- 1999
- [j5]Yuji Niwa, Masahiro Terabe, Takashi Washio:
Autonomous Recovery Execution in Nuclear Power Plant by the Agent. Cogn. Technol. Work. 1(4): 197-210 (1999) - [c13]Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya:
"Thermodynamics" from Time Series Data Analysis. Discovery Science 1999: 326-327 - [c12]Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda:
Derivation of the Topology Structure from Massive Graph Data. Discovery Science 1999: 330-332 - [c11]Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio, Kohei Kumazawa, Naohide Arai:
Graph-Based Induction for General Graph Structured Data. Discovery Science 1999: 340-342 - [c10]Takashi Washio, Hiroshi Motoda, Yuji Niwa:
Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains. IJCAI 1999: 772-779 - [c9]Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda:
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree. PAKDD 1999: 143-147 - [c8]Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
Characterization of Default Knowledge in Ripple Down Rules Method. PAKDD 1999: 284-295 - [c7]Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai:
Basket Analysis for Graph Structured Data. PAKDD 1999: 420-431 - 1998
- [j4]Takashi Washio, Hiroshi Motoda:
Discovery of first-principle equations based on scale-type-based and data-driven reasoning. Knowl. Based Syst. 10(7): 403-411 (1998) - [j3]Takashi Washio, Cornelis W. Oosterlee:
Flexible Multiple Semicoarsening for Three-Dimensional Singularly Perturbed Problems. SIAM J. Sci. Comput. 19(5): 1646-1666 (1998) - [c6]Takashi Washio, Hiroshi Motoda:
Discovering Admissible Simultaneous Equations of Large Scale Systems. AAAI/IAAI 1998: 189-196 - [c5]Takashi Washio, Hiroshi Motoda:
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. Discovery Science 1998: 352-363 - [c4]Takashi Washio, Hiroshi Motoda:
Mining Association Rules for Estimation and Prediction. PAKDD 1998: 417-419 - 1997
- [j2]Takashi Washio, Masatake Sakuma, Masaharu Kitamura:
A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors. Artif. Intell. 91(1): 103-130 (1997) - [c3]Takashi Washio, Hiroshi Motoda:
Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints. IJCAI (2) 1997: 810-819 - 1996
- [j1]Rolf Hempel, Robin Calkin, Reinhold Hess, Wolfgang Joppich, Cornelis W. Oosterlee, Hubert Ritzdorf, Peter Wypior, Wolfgang Ziegler, Nubohiko Koike, Takashi Washio, Udo Keller:
Real Applications on the New Parallel System NEC Cenju-3. Parallel Comput. 22(1): 131-148 (1996) - [c2]Masahiro Terabe, Takashi Washio, Osamu Katai, Tetsuo Sawaragi:
A Study of Organizational Learning in Multi-Agent Systems. ECAI Workshop LDAIS / ICMAS Workshop LIOME 1996: 168-179 - [c1]Takashi Washio, Hiroshi Motoda:
A History-Oriented Envisioning Method. PRICAI 1996: 312-323
Coauthor Index
[j21] [c62] [j19] [j18] [p1] [j17] [c55] [c53] [c52] [c51] [j16] [j14] [j13] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [j12] [j11] [c40] [c39] [c38] [c37] [j10] [j9] [c36] [c34] [c33] [c32] [j8] [j7] [c31] [c29] [c28] [c27] [c26] [c25] [j6] [c24] [c23] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [c12] [c11] [c10] [c9] [c8] [c7] [j4] [c6] [c5] [c4] [c3] [c1]
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