Hiroshi Motoda

213 papers A* 14A 1B 57C 16Misc 1Journal 60Unranked 51

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Constructing outlier-free histograms with variable bin-width based on distance minimization. Intell. Data Anal. Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2022	J	`jnl`	Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition. Soc. Netw. Anal. Min. Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2021	B	`conf`	Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. ASONAM Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2021	J	`jnl`	Efficient computation of target-oriented link criticalness centrality in uncertain graphs. Intell. Data Anal. Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2021	J	`jnl`	General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment. Soc. Netw. Anal. Min. Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2020	—	`conf`	Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. IEEE BigData Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2020	B	`conf`	Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. DS Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2020	B	`conf`	Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks. ASONAM Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2020	J	`jnl`	Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes. Int. J. Data Sci. Anal. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2019	J	`jnl`	Critical Node Identification based on Articulation Point Detection for Uncertain Network. Int. J. Netw. Comput. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2019	—	`conf`	Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. PRICAI (2) Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2019	B	`conf`	Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. DS Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	J	`jnl`	Accurate and efficient detection of critical links in network to minimize information loss. J. Intell. Inf. Syst. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	C	`conf`	Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity. ISMIS Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	—	`conf`	Critical Node Identification Based on Articulation Point Detection for Network with Uncertain Connectivity. CANDAR Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2018	—	`conf`	Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity. PRICAI (1) Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	J	`jnl`	Which is more influential, "Who" or "When" for a user to rate in online review site? Intell. Data Anal. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2017	C	`conf`	An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. ISMIS Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2017	—	`conf`	Discovering Cooperative Structure Among Online Items for Attention Dynamics. ICDM Workshops Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2017	B	`conf`	Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. DSAA Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2016	B	`conf`	Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. DS Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2016	B	`conf`	Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability. PRICAI Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2016	Misc	`conf`	Looking back on the current day: interruptibility prediction using daily behavioral features. UbiComp Minsoo Choy, Daehoon Kim, Jae-Gil Lee, Heeyoung Kim, Hiroshi Motoda
2016	J	`jnl`	Speeding-up node influence computation for huge social networks. Int. J. Data Sci. Anal. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2016	J	`jnl`	Super mediator - A new centrality measure of node importance for information diffusion over social network. Inf. Sci. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2015	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I PAKDD (1) Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II PAKDD (2) Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015	B	`conf`	Change Point Detection for Information Diffusion Tree. Discovery Science Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2015	J	`jnl`	Change point detection for burst analysis from an observed information diffusion sequence of tweets. J. Intell. Inf. Syst. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2015	—	`conf`	Combining activity-evaluation information with NMF for trust-link prediction in social media. IEEE BigData Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2015	—	`conf`	Efficient Learning of User Conformity on Review Score. SBP Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2015	—	`conf`	Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. PAKDD (1) Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2015	—	`ed.`	Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers PAKDD Workshops Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2014	B	`conf`	A Method to Divide Stream Data of Scores over Review Sites. PRICAI Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2014	—	`conf`	A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2014	B	`conf`	Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media. PRICAI Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2014	B	`conf`	Efficient analysis of node influence based on SIR model over huge complex networks. DSAA Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2014	B	`conf`	Resampling-Based Framework for Estimating Node Centrality of Large Social Network. Discovery Science Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2014	—	`ed.`	Rough Sets and Intelligent Systems Paradigms - Second International Conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings RSEISP Marzena Kryszkiewicz, Chris Cornelis, Davide Ciucci, Jesús Medina-Moreno, Hiroshi Motoda, Zbigniew W. Ras
2014	J	`jnl`	Uncovering deception in social media. Soc. Netw. Anal. Min. Huan Liu, Jiawei Han, Hiroshi Motoda
2014	B	`conf`	Welcome from DSAA 2014 chairs. DSAA Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
2013	—	`ed.`	Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II ADMA (2) Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang
2013	—	`ed.`	Advanced Data Mining and Applications, 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I ADMA (1) Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang
2013	—	`ed.`	Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I PAKDD (1) Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
2013	—	`ed.`	Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II PAKDD (2) Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
2013	—	`ed.`	Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers BSI@PAKDD/BSIC@IJCAI Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
2013	B	`conf`	Detecting changes in content and posting time distributions in social media. ASONAM Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2013	J	`jnl`	Detecting changes in information diffusion patterns over social networks. ACM Trans. Intell. Syst. Technol. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2013	B	`conf`	Identifying Super-Mediators of Information Diffusion in Social Networks. Discovery Science Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2013	J	`jnl`	Introduction: special issue of selected papers of ACML 2012. Mach. Learn. Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda
2013	J	`jnl`	Learning to predict opinion share and detect anti-majority opinionists in social networks. J. Intell. Inf. Syst. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2013	C	`conf`	Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes. ACML Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2013	J	`jnl`	Special issue on behavior computing. Knowl. Inf. Syst. Longbing Cao, Philip S. Yu, Hiroshi Motoda, Graham J. Williams
2013	—	`conf`	Which Targets to Contact First to Maximize Influence over Social Network. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	B	`conf`	Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. Discovery Science Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2012	—	`conf`	Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models. SBP Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2012	J	`jnl`	Efficient discovery of influential nodes for SIS models in social networks. Knowl. Inf. Syst. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	—	`conf`	Graph embedding on spheres and its application to visualization of information diffusion data. WWW (Companion Volume) Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	J	`jnl`	Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks CoRR Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	C	`conf`	Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. PKAW Shoko Kato, Akihiro Koide, Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2012	—	`conf`	Opinion Formation by Voter Model with Temporal Decay Dynamics. ECML/PKDD (2) Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2011	B	`conf`	Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. Discovery Science Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2011	—	`conf`	Detecting Changes in Opinion Value Distribution for Voter Model. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2011	J	`jnl`	Efficient Detection of Hot Span in Information Diffusion from Observation CoRR Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2011	C	`conf`	Estimating Diffusion Probability Changes for AsIC-SIS Model. ACML Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2011	C	`conf`	Learning Attribute-weighted Voter Model over Social Networks. ACML Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2011	C	`conf`	Learning Diffusion Probability Based on Node Attributes in Social Networks. ISMIS Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, Hiroshi Motoda
2011	—	`conf`	Learning Information Diffusion Models from Observation and Its Application to Behavior Analysis. SocInfo Hiroshi Motoda
2011	J	`jnl`	Learning information diffusion model in a social network for predicting influence of nodes. Intell. Data Anal. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2011	—	`conf`	Speeding Up Bipartite Graph Visualization Method. Australasian Conference on Artificial Intelligence Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	C	`conf`	Acquiring Expected Influence Curve from Single Diffusion Sequence. PKAW Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura
2010	—	`conf`	Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	B	`conf`	Discovery of Super-Mediators of Information Diffusion in Social Networks. Discovery Science Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	J	`jnl`	Editorial. Intell. Data Anal. Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
2010	B	`conf`	Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. PRICAI Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	J	`jnl`	Extracting influential nodes on a social network for information diffusion. Data Min. Knowl. Discov. Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
2010	—	`conf`	Feature Selection: An Ever Evolving Frontier in Data Mining. FSDM Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
2010	C	`conf`	Finding Relation between PageRank and Voter Model. PKAW Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara
2010	C	`conf`	Generative Models of Information Diffusion with Asynchronous Timedelay. ACML Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	A*	`conf`	Learning to Predict Opinion Share in Social Networks. AAAI Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2010	—	`conf`	Preface. FSDM Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
2010	—	`ed.`	Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, FSDM, held at PAKDD 2010, Hyderabad, India, June 21st, 2010 FSDM Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
2010	—	`conf`	Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. ECML/PKDD (3) Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2009	J	`jnl`	Blocking links to minimize contamination spread in a social network. ACM Trans. Knowl. Discov. Data Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
2009	B	`conf`	Discovering Influential Nodes for SIS Models in Social Networks. Discovery Science Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2009	A*	`conf`	Efficient Estimation of Influence Functions for SIS Model on Social Networks. IJCAI Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
2009	C	`conf`	Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. ACML Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2009	J	`jnl`	Preface. Int. J. Softw. Informatics Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
2008	B	`conf`	Community analysis of influential nodes for information diffusion on a social network. IJCNN Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito, Hiroshi Motoda
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	—	`conf`	Effective Visualization of Information Diffusion Process over Complex Networks. ECML/PKDD (2) Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2008	A*	`conf`	Minimizing the Spread of Contamination by Blocking Links in a Network. AAAI Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
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
2008	B	`conf`	Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. PRICAI Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
2008	J	`jnl`	Top 10 algorithms in data mining. Knowl. Inf. Syst. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
2008	C	`conf`	What Does an Information Diffusion Model Tell about Social Network Structure?. PKAW Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2007	J	`jnl`	A Classification Method Based on Subspace Clustering and Association Rules. New Gener. Comput. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda
2007	—	`ch.`	Communicability Criteria of Law Equations Discovery. Computational Discovery of Scientific Knowledge Takashi Washio, Hiroshi Motoda
2007	C	`conf`	Pattern Discovery from Graph-Structured Data - A Data Mining Perspective. IEA/AIE Hiroshi Motoda
2007	J	`jnl`	Scientific Discovery of Dynamic Models Based on Scale-type Constraints. Inf. Media Technol. Fuminori Adachi, Takashi Washio, Hiroshi Motoda
2007	A*	`conf`	Search engine retrieval of changing information. WWW Yang Sok Kim, Byeong Ho Kang, Paul Compton, 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`	What Can We Do with Graph-Structured Data? - A Data Mining Perspective. Australian Conference on Artificial Intelligence Hiroshi Motoda
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	—	`ed.`	Active Mining, Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers Active Mining Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda
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	J	`jnl`	Constructing a Decision Tree for Graph-Structured Data and its Applications. Fundam. Informaticae Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi, Katsuhiko Takabayashi
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	B	`ed.`	Discovery Science, 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings Discovery Science Achim G. Hoffmann, Hiroshi Motoda, Tobias Scheffer
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`	Graph Clustering Based on Structural Similarity of Fragments. Federation over the Web Tetsuya Yoshida, Ryosuke Shoda, Hiroshi Motoda
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`	Performance evaluation of fusing two different knowledge sources in Ripple Down Rules method. AMT Tetsuya Yoshida, Hiroshi Motoda
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`	A selective sampling approach to active feature selection. Artif. Intell. Huan Liu, Hiroshi Motoda, Lei Yu
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`	Compact Dual Ensembles for Active Learning. PAKDD Amit Mandvikar, Huan Liu, Hiroshi Motoda
2004	B	`conf`	Constructive Inductive Learning Based on Meta-attributes. Discovery Science Kouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda
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	J	`jnl`	Editorial: Data Mining Lessons Learned. Mach. Learn. Nada Lavrac, Hiroshi Motoda, Tom Fawcett
2004	J	`jnl`	Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Mach. Learn. Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans
2004	—	`conf`	Using a Hash-Based Method for Apriori-Based Graph Mining. PKDD Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda
2004	—	`conf`	Workshop on Active Mining (AM-2004). JSAI Workshops Masayuki Numao, Takahira Yamaguchi, Shusaku Tsumoto, Hiroshi Motoda
2003	B	`conf`	Active Feature Selection Using Classes. PAKDD Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda
2003	—	`conf`	Active Mining Project: Overview. Active Mining Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, 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	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`	Preface. Theor. Comput. Sci. Setsuo Arikawa, Koichi Furukawa, Shinichi Morishita, Hiroshi Motoda
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	A*	`conf`	Feature Selection with Selective Sampling. ICML Huan Liu, Hiroshi Motoda, Lei Yu
2002	J	`jnl`	Graph-based induction and its applications. Adv. Eng. Informatics Takashi Matsuda, Hiroshi Motoda, Takashi Washio
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	J	`jnl`	On Issues of Instance Selection. Data Min. Knowl. Discov. Huan Liu, Hiroshi Motoda
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	B	`conf`	Knowledge Acquisition from Both Human Expert and Data. PAKDD Takuya Wada, Hiroshi Motoda, 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	B	`conf`	Consistency Based Feature Selection. PAKDD Manoranjan Dash, Huan Liu, 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	J	`jnl`	Special Feature on Discovery Science. New Gener. Comput. Hiroshi Motoda, Setsuo Arikawa
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	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`	Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract). PAKDD Hiroshi Motoda
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`	Feature Selection Using Consistency Measure. Discovery Science Manoranjan Dash, Huan Liu, Hiroshi Motoda
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	—	`conf`	A Monotonic Measure for Optimal Feature Selection. ECML Huan Liu, Hiroshi Motoda, Manoranjan Dash
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	B	`ed.`	Discovery Science, First International Conference, DS '98, Fukuoka, Japan, December 14-16, 1998, Proceedings Discovery Science Setsuo Arikawa, 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	—	`book`	Feature Selection for Knowledge Discovery and Data Mining Huan Liu, Hiroshi Motoda
1998	J	`jnl`	Guest Editors' Introduction: Feature Transformation and Subset Selection. IEEE Intell. Syst. Huan Liu, Hiroshi Motoda
1998	J	`jnl`	Knowledge discovery and data mining. Knowl. Based Syst. Hing-Yan Lee, Hongjun Lu, Hiroshi Motoda
1998	J	`jnl`	Machine Learning Techniques to Make Computers Easier to Use. Artif. Intell. Hiroshi Motoda, Kenichi Yoshida
1998	B	`conf`	Mining Association Rules for Estimation and Prediction. PAKDD Takashi Washio, Hiroshi Motoda
1998	B	`ed.`	PRICAI'98, Topics in Artificial Intelligence, 5th Pacific Rim International Conference on Artificial Intelligence, Singapore, November 22-27, 1998, Proceedings PRICAI Hing-Yan Lee, Hiroshi Motoda
1997	—	`conf`	Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints. IJCAI (2) Takashi Washio, Hiroshi Motoda
1997	J	`jnl`	Help Desk System with Intelligent Interface. Appl. Artif. Intell. Byeong Ho Kang, Kenichi Yoshida, Hiroshi Motoda, Paul Compton
1997	—	`conf`	Machine Learning Techniques to Make Computers Easier to Use. IJCAI Hiroshi Motoda, Kenichi Yoshida
1996	B	`conf`	A History-Oriented Envisioning Method. PRICAI Takashi Washio, Hiroshi Motoda
1996	J	`jnl`	Automated user modeling for intelligent interface. Int. J. Hum. Comput. Interact. Kenichi Yoshida, Hiroshi Motoda
1996	—	`conf`	Process Labeled Kernel Profiling: A New Facility to Profile System Activities. USENIX ATC Shingo Nishioka, Atsuo Kawaguchi, Hiroshi Motoda
1995	A	`conf`	A Flash-Memory Based File System. USENIX Atsuo Kawaguchi, Shingo Nishioka, Hiroshi Motoda
1995	J	`jnl`	CLIP: Concept Learning from Inference Patterns. Artif. Intell. Kenichi Yoshida, Hiroshi Motoda
1995	J	`jnl`	Expert Systems Research in Japan. IEEE Expert Riichiro Mizoguchi, Hiroshi Motoda
1995	—	`conf`	Tables, Graphs and Logic for Induction. Machine Intelligence 15 Kenichi Yoshida, Hiroshi Motoda
1994	J	`jnl`	Graph-based induction as a unified learning framework. Appl. Intell. Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya
1994	A*	`conf`	How Things Appear to Work: Predicting Behaviors from Device Diagrams. AAAI N. Hari Narayanan, Masaki Suwa, Hiroshi Motoda
1994	J	`jnl`	PCLEARN: A Computer Model for Learning Perceptual Chunks. AI Commun. Masaki Suwa, Hiroshi Motoda
1993	B	`conf`	A New Algorithm for Automatic Configuration of Hidden Markov Models. ALT Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda
1993	B	`conf`	A Perceptual Criterion for Visually Controlling Learning. ALT Masaki Suwa, Hiroshi Motoda
1993	—	`conf`	On dealing with dynamic utility of learned knowledge. Machine Intelligence 14 Masaki Suwa, Hiroshi Motoda
1993	B	`conf`	Unifying Learning Methods by Colored Digraphs. ALT Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya
1992	—	`conf`	Learning Perceptually Chunked Macro Operators. Machine Intelligence 13 Masaki Suwa, Hiroshi Motoda
1991	J	`jnl`	Interview-Based Knowledge Acquisition Using Dynamic Analysis. IEEE Expert Atsuo Kawaguchi, Hiroshi Motoda, Riichiro Mizoguchi
1991	J	`jnl`	Knowledge Acquisition for Knowledge-Based Systems. IEEE Expert Hiroshi Motoda, Riichiro Mizoguchi, John H. Boose, Brian R. Gaines
1991	B	`conf`	The use of abstract primitives in representing the meanings of "Verbs" for understanding metaphors. ALT Masaki Suwa, Hiroshi Motoda
1990	J	`jnl`	The Current Status of Expert System Development and Related Technologies in Japan. IEEE Expert Hiroshi Motoda
1989	J	`jnl`	Acquisition of associative knowledge by the frustration-based learning method in an auxiliary-line problem. Knowl. Acquis. Masaki Suwa, Hiroshi Motoda
1988	—	`conf`	Proving Definite Clauses without Explicit Use of Inductions. LP Akito Sakurai, Hiroshi Motoda
1984	—	`conf`	A Knowledge based System for Plant Diagnosis. FGCS Hiroshi Motoda, Naoyuki Yamada, Kenichi Yoshida
1983	A*	`conf`	A Diagnosis Method of Dynamic System Using the Knowledge on System Description. IJCAI Naoyuki Yamada, Hiroshi Motoda