Journal Papers
International Conference/Workshop (Reviewed)
Book Chapter

Journal Papers
  1. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: "Speeding-up Node Influence Computation for Huge Social Networks", International Journal of Data Science and Analytics (accepted).

  2. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: "Change point detection for burst analysis from an observed information diffusion sequence of tweets", Journal of Intelligent Information Systems (JIIS), Vol. 44, Issue 2, pp 243-269 (2015-04).

  3. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: "A new centrality measure of node importance for information diffusion over social network", Information Sciences (accepted).

  4. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: "Learning to predict opinion share and detect anti-majority opinionists in social networks", Journal of Intelligent Information Systems, Springer, Vol.41, Issue 1, pp.5-37 (2013-08).

  5. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: "Detecting Changes in Information Diffusion Pattern over Social Network&auot;, ACM Transactions on Intelligent Systems and Technology (TIST), Vol.4, Iss.3, Article No. 55 (2013-06).

  6. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: "Learning Asynchronous-Time Information Diffusion Models and Its Application to Behavioral Data Analysis over Social Networks", Journal of Computer Engineering and Informatics (JCEI), Vol.1 Iss.2, pp.30-57 (2013-04).

  7. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: "Efficient discovery of influential nodes for SIS models in social networks", Knowledge and Information Systems, Vol.30, No.3, pp.613-635 (2012-03).

  8. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: "Learning information diffusion model in a social network for predicting influence of nodes", Intelligent Data Analysis, No.15, Vol.4, pp.633-652 (2011-06).

  9. Alexandre Termier, Marie-Christine Rousset, Mich?le Sebag, Kouzou Ohara, Takashi Washio, and Hiroshi Motoda: "DryadeParent, an Efficient and Robust Closed Attribute Tree Mining Algorithm", IEEE transactions on Knowledge and Data Engineering, Vol.20, No.3, pp.300-320 (2008-03).

  10. Noboru Babaguchi, Kouzou Ohara and Tekehiro Ogura: "Learning Personal Preference from Viewer's Operations for Browsing and its Application to Baseball Video Retrieval and Summarization", IEEE transactions on Multimedia, Vol.9, No.5, pp.1016-1025 (2007-08).

  11. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi and Katsuhiko Takabayashi: "Constructing a Decision Tree for Graph-Structured Data and its Applications", Fundamenta Informaticae, IOS Press Vol.66, No.1-2, pp.131-160(2005).

  12. Kouichi Katsurada, Makoto, Koyama, Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "Modification of Document Classification Rules based on Misclassification", Transactions of Information Processing Society of Japan, Vol.43, No.6, pp.1880-1889(2002). (in Japanese)

  13. Kouzou Ohara, Hideyuki Taka, Noboru Babaguchi and Tadahiro Kitahashi: "Learning System for Default Rules Capable of Dynamically Determining Generality of Target Concept in a Class Hierarchy", Transactions of Japanese Society for Artificial Intelligence, Vol.17, No.2, pp.153-161(2002). (in Japanese)

  14. Yu Morinaka, Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "Acquiring Relations between Two Classes Based on Dissimilarity between Instances", Transactions of Information Processing Society of Japan, Vol.41, No.11, pp.3193-3196(2000). (in Japanese)

  15. Yu Morinaka, Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "Knowledge Acquisition in Databases by Generating Negative Instances Based on Similarity between Instances in Database", Journal of Japanese Society for Artificial Intelligence, Vol.15, No.5, pp.862-870(2000). (in Japanese)

  16. Kouichi Katsurada, Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "Knowledge-Base Reconstruction by Means of Changing the Viewpoint of Exceptions within Incomplete Knowledge", Journal of Japanese Society for Artificial Intelligence, Vol.14, No.3, pp.485-494(1999). (in Japanese)

  17. Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "Relational Algebraic Representation for Query Procedure in Advanced Logical DataBase Handling Incomplete Knowledge", Transactions of Information Processing Society of Japan, Vol.36, No.6, pp.1433-1440(1995). (in Japanese)

International Conference/Workshop (Reviewed)
  1. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: "Change point detection for information diffusion tree". Proceedings of The Eighteenth Internatioanal Conference on Discovery Science(DS2015) (2015-10).

  2. Dai Hasegawa, Shinichi Shirakawa, Naoya Shioiri, Toshiki Hanawa, Hiroshi Sakuta, and Kouzou Ohara: "The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent", Proceedings of The 17th International Conference on Human-Computer Interaction (HCII 2015) (2015-08).

  3. Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, and Kouzou Ohara: "Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling", Proceedings of Genetic and Evolutionary Computation Conference 2015 (GECCO '15) (2015-07).

  4. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: "Resampling-based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network", Proceedings of The Nineteenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2015) (2015-05)

  5. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: "Efficient Learning of User Conformity on Review Score", Proceedings of The 2015 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2015) (2015-04).

  6. Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: "A Method to Divide Stream Data of Scores over Review Sites", Proceedings of The 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI2014) (2014-12).

  7. Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda: "Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media", Proceedings of The 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI2014) (2014-12).

  8. Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda: "Efficient Analysis of Node Influence Based on SIR Model over Huge Complex Networks", Proceedings of The 2014 International Conference on Data Science and Advanced Analytics (DSAA2014) (2014-10).

  9. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: "Resampling-based Framework for Estimating Node Centrality of Large Social Network", Proceedings of The Seventeenth Internatioanal Conference on Discovery Science (DS2014) (2014-10).

  10. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor", Proceedings of Social Computing, Behavioral-Cultural Modeling and Prediction - 7th International Conference (SBP 2014) (2014-04).

  11. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: "Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes", Proceedings of The Fifth Asian Conference on Machine Learning (ACML2013) (2013-11).

  12. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Identifying Super-Mediators of Information Diffusion in Social Networks", Proceedings of The Sixteenth Internatioanal Conference on Discovery Science(DS2013) (2013-10).

  13. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: "Detecting Changes in Content and Posting Time Distributions in Social Media", Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2013) (2013-08).

  14. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Which Targets to Contact First to Maximize Influence over Social Network", Proceedings of the 2013 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2013) (2013-04).

  15. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: "Burst Detection in a Sequence of Tweets based on Information Diffusion Model", The Fifteenth Internatioanal Conference on Discovery Science(DS2012) (2012-10).

  16. Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda: "Opinion Formation by Voter Model with Temporal Decay Dynamics", Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD2012) (2012-09).

  17. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Graph Embedding on Spheres and its Application to Visualization of Information Diffusion Data", Proceedings of The International Workshop on Mining Social Network Dynamics(MSND2012) (2012-04).

  18. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: "Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models", Proceedings of the 5th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP'12) (2012-04).

  19. Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, and Kouzou Ohara: "Speeding Up Bipartite Graph Visualization Method", Proceedings of the 24th international conference on Advances in Artificial Intelligence (AI'11) (2011-12).

  20. Yuki Yamagishi, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: "Learning Attribute-weighted Voter Model over Social Networks", Proceedings of The 3rd Asian Conference on Machine Learning (ACML2011) (2011-11).

  21. Akihiro Koide, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: "Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results", Proceedings of The 3rd Asian Conference on Machine Learning (ACML2011) (2011-11).

  22. Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda: "Detecting anti-majority opinionists using value-weighted mixture voter model", Proceedings of The Fourteenth International Conference on Discovery Science (DS 2011) (2011-10).

  23. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: "Efficient detection of hot span in information diffusion from observation", Proceedings of The IJCAI-11 Workshop on Link Analysis in Heterogenous Information Networks (2011-07).

  24. Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, and Hiroshi Motoda: "Learning diffusion probability based on node attributes in social networks", Proceedings of International Symposium on Methodologies for Intelligent Systems (ISMIS 2011) (2011-06).

  25. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Detecting changes in opinion value distribution for voter model", Proceedings of 2011 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP11) (2011-03).

  26. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Generative Models of Information Diffusion with Asynchronous Time-delay", Proceedings of The 2nd Asian Conference on Machine Learning (ACML2010) (2010-11).

  27. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Discovery of Super-Mediators of Information Diffusion in Social Networks", Proceedings of the 13th International Conference on Discovery Science (DS 2010) (2010-10).

  28. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Selecting Information Diffusion Models over Social Networks for Behavioral Analysis", Proceedings of Machine Learning and Knowledge Discovery in Databases, European Conference (ECML/PKDD 2010) (2010-09).

  29. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay", Proceedings of the 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI2010) (2010-09).

  30. Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, and Masahiro Kimura: "Acquiring Expected Influence Curve from Single Diffusion Sequence", Proceedings of Knowledge Management and Acquisition for Smart Systems and Services, 11th International Workshop (PKAW 2010) (2010-08).

  31. Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, and Kouzou Ohara: "Finding Relation between PageRank and Voter Model", Proceedings of Knowledge Management and Acquisition for Smart Systems and Services, 11th International Workshop (PKAW 2010) (2010-08).

  32. Kouzou Ohara, Yu Fujimoto, and Tomofumi Shiina: "Recommendation of Little Known Good Travel Destinations Using Word-of-Mouth Information on the Web", Proceedings of Active Media Technology, 6th International Conference (AMT 2010) (2010-08).

  33. Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda: "Learning to Predict Opinion Share in Social Networks", Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010) (2010-07).

  34. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network", Proceedings of the Third International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP 2010) (2010-03).

  35. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: "Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis", Proceedings off The 1st Asian Conference on Machine Learning (ACML 2009) (2009-11).

  36. Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, and Takashi Washio: "Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining", Proceedings of The 2008 Pacific Rim Knowledge Acquisition Workshop (PKAW 2008) (2008-12).

  37. Kouzou Ohara and Takashi Washio: "Isomorphism Identification by Using Graph Spectra and Its Application to Graph Mining", Proceedings of the Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis (IASC2008) (2008-12).

  38. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: "Mining Discriminative Patterns from Graph Structured Data with Constrained Search", Proceedings of Mining and Learning with Graphs (MLG 2006), Workshop held in conjunction with the 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2006), Berlin, Germany, pp.205-212 (2006-9).

  39. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: "Extracting Discriminative Patterns from Graph Structured Data using Constrained Search", Proceedings of the 2006 Pacific Rim Knowledge Acquisition Workshop (PKAW 2006) , Workshop held in conjunction with the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2006), Guilin, China, pp.62-72 (2006-8).

  40. Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda and Takashi Washio: "Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction", Proceedings of the 10th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2006), Singapore, pp.390-399 (2006).

  41. Alexandre Termier, Marie-Christine Rousset, Michele Sebag, Kouzou Ohara, Takashi Washio and Hiroshi Motoda: "Efficient Mining of High Branching Factor Attribute Trees", Proceedings of the 5th IEEE International Conference on Data Mining (ICDM '05), Houston, U.S.A, pp.785-788 (2005).

  42. Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda and Takashi Washio: "Decision Tree Construction by Chunkingless Graph-Based Induction for Graph-Structured Data", Proceedings of the First International Workshop on Mining Complex Data (MCD '05), Workshop in conjunction with the 5th IEEE International Conference on Data Mining (ICDM '05), Houston, U.S.A, pp.65-72 (2005).

  43. Alexandre Termier, Marie-Christine Rousset, Michele Sebag, Kouzou Ohara, Takashi Washio and Hiroshi Motoda: "Computation-time efficient and robust attribute tree mining with DryadeParent", Proceedings of the 3rd International Workshop on Mining Graphs, Trees and Sequences (MGTS2005), Workshop held in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2005), Porto, Portugal, pp.63--76 (2005-10).

  44. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: "Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data", Proceedings of the 9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2005), Hanoi, Vietnam, Lecture Notes in Artificial Intelligence, Vol. 3518, Springer-Verlag, pp.639--649 (2005-5).

  45. Kouzou Ohara, Yukio Onishi, Noboru Babaguchi and Hiroshi Motoda: "Constructive Inductive Learning based on Meta-Attributes", Proceedings of the 7th International Conference on Discovery Science (DS2004), Padova, Italy, pp.142-154 (2004-10).

  46. Phu Chien Nguyen, Takashi Washio, Kouzou Ohara and Hiroshi Motoda: "Using a Hash-based Method for Apriori-based Graph Mining", Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2005), Pisa, pp.349-361 (2004-9).

  47. Kouzou Ohara, Tetsuya Yoshida, Warodom Geamsakul, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: "Analysis of Hepatitis Dataset by Decision Tree Graph-Based Induction", Proceedings of Discovery Challenge, Workshop held in conjunction with the 15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2004), Pisa, pp.173-184 (2004-9).

  48. Hiroshi Motoda, Tetsuya Yoshida, Kouzou Ohara, Warodom Geamsakul, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: "Application of DT-GBI to Promoter and Hepatitis Datasets", Proceedings of the Knowledge Discovery in BioMedicine (KDbM-04), Auckland, pp.10-40 (2004-8).

  49. Tetsuya Yoshida, Warodom Geamsakul, Akira Mogi, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: "Preliminary Analysis of Interferon Therapy by Graph-Based Induction", Proceedings of the Third International Workshop on Active Mining (AM-2004), Kanazawa, Japan, pp.31-40 (2004-6).

  50. Noboru Babaguchi, Kouzou Ohara, and Takehiro Ogura: "Effect of Personalization on Retrieval and Summarization of Sports Video", Proceedings of Fourth International Conference on Information, Communications & Signal Processing/Fourth IEEE Pacific-Rim Conference On Multimedia (ICICS-PCM03), Singapore, pp.15-18(2004-12).

  51. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, and Takashi Washio: "Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction", Working notes of the 2nd International Workshop on Active Mining (AM2003), pp.106-117(2003-11).

  52. Kouzou Ohara, Takehiro Ogura, and Noboru Babaguchi: "On Personalizing Video Portal System with Metadata", Proceedings of 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES2003), Oxford, UK, pp.1062-1069(2003-9).

  53. Kouzou Ohara, Hideyuki Taka, Noboru Babaguchi and Tadahiro Kitahashi: "Determination of General Concept in Learning Default Rules", Proceedings of Sixth Pacific Rim International Conference on Artificial Intelligence (PRICAI 2000), Melbourne, pp.104-114(2000-08).

  54. Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "An Efficient Hypothesis Search Algorithm based on Best-Bound Strategy", Work-in-Progress Reports of 10th International Conference on Inductive Logic Programming(ILP2000), London, pp.212-225(2000-07)．(Poster Session)

  55. Kouichi Katsurada, Kouzou Ohara, Noboru Babaguchi, and Tadahiro Kitahashi: $quot;On Operations for Reconstructing the Complete/Incomplete Knowledge", Proceedings of The 10th European-Japanese Conference on Information Modeling and Knowledge Bases, pp.41-51(2000).

  56. Kouichi Katsurada, Makoto Koyama, Kouzou Ohara, Noboru Babaguchi, and Tadahiro Kitahashi: "Converting Ordinary Rules into Default Rules Based on Contradiction of Knowledge Base", Proceedings of The 10th European-Japanese Conference on Information Modeling and Knowledge Bases, pp.248-258(2000).

  57. Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "Non-monotonic Inference System Handling Knowledge Allowing Classified Exceptions", Proceedings of IEEE ICSMC'98, pp.1558-1563(1998).

  58. Kouichi Katsurada, Makoto Koyama, Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "Solving Contradiction in Knowledge-Base without Interaction", Proceedings of IEEE ICSMC'98, pp.1546--1551(1998).

  59. Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "On Formation of Exception Hierarchy", Proceedings of PRICAI'96, pp.534--545(1996).

  60. Kouzou Ohara, Noboru Babaguchi and Tadahiro Kitahashi: "A Query Procedure for Allowing Exceptions in Advanced Logical Database", Proceedings of IEA/AIE-96, pp.127-132(1996).

Book Chapter
  1. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, and Katsuhiko Takabayashi: "Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction", New Frontiers in Artificial Intelligence, JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31 - June 4, 2004, Revised Selected Papers, LNAI 3609, Springer-Verlag, pp.5-28(2007-04)

  2. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: "Extracting Discriminative Patterns from Graph Structured Data using Constrained Search", Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, Augsut 2006, Revised Selected Papers, LNAI 4303, Springer, pp.64-74 (2007-1).

  3. Kouzou Ohara, Phu Chien Nguyen, Akira Mogi, Hiroshi Motoda and Takashi Washio: "Constructing Decision Trees Based On Chunkingless Graph-Based Induction", L. B. Holder and D. J. Cook, (Eds.), Mining Graph Data, Wiley-Interscience, pp.203-226(2006-12).

  4. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: "Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction", S. Tsumoto, T. Yamaguchi, M. Numao and H. Motoda (Ed.), Active Mining: Second International Workshop, AM 2003, Maebashi, Japan, October 2003. Revised Selected Papers, Lecture Notes in Computer Science, Volume 3430, Springer-Verlag, pp.126-151 (2005-05)

  5. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi and Katsuhiko Takabayashi: "Constructing a Decision Tree for Graph-Structured Data and its Applications", T. Washio, L. De Raedt and J. N. Knok (Eds.), Advances in Mining Graphs, Trees and Sequences, IOS Press., pp.131-160 (2005).