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Makoto Haraguchi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Makoto Haraguchi, Setsuo Arikawa
    A Foundation of Reasoning by Analogy: Analogical Union of Logic Programs. [Citation Graph (1, 0)][DBLP]
    LP, 1986, pp:58-69 [Conf]
  2. Makoto Haraguchi, Setsuo Arikawa
    Reasoning by Analogy as a Partial Identity Between Models. [Citation Graph (0, 0)][DBLP]
    AII, 1986, pp:61-87 [Conf]
  3. Yuhsuke Itoh, Makoto Haraguchi
    Conceptual Classifications Guided by a Concept Hierarchy. [Citation Graph (0, 0)][DBLP]
    ALT, 2000, pp:166-178 [Conf]
  4. Nobuhiro Morita, Makoto Haraguchi, Yoshiaki Okubo
    A Method of Similarity-Driven Knowledge Revision for Type Specializations. [Citation Graph (0, 0)][DBLP]
    ATL, 1999, pp:194-205 [Conf]
  5. Yoshiaki Okubo, Makoto Haraguchi
    Planning with Abstraction Based on Partial Predicate Mappings. [Citation Graph (0, 0)][DBLP]
    ALT, 1992, pp:183-194 [Conf]
  6. Yoshiaki Okubo, Makoto Haraguchi
    Constructing Predicate Mappings for Goal-Dependent Abstraction. [Citation Graph (0, 0)][DBLP]
    AII/ALT, 1994, pp:516-531 [Conf]
  7. Ken Sadohara, Makoto Haraguchi
    Analogical Logic Program Synthesis Algorithm That Can Refute Inappropriate Similarities. [Citation Graph (0, 0)][DBLP]
    ALT, 1995, pp:266-281 [Conf]
  8. Masaharu Yoshioka, Makoto Haraguchi, Akihito Mizoe
    Towards Constructing Story Databases Using Maximal Analogies Between Stories. [Citation Graph (0, 0)][DBLP]
    Intuitive Human Interfaces for Organizing and Accessing Intellectual Assets, 2004, pp:243-255 [Conf]
  9. Makoto Haraguchi, Tokuyasu Kakuta
    A Similarity Finding System under a Goal Concept. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:395-396 [Conf]
  10. Makoto Haraguchi, Shigetora Nakano, Masaharu Yoshioka
    Discovery of Maximal Analogies between Stories. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:324-331 [Conf]
  11. Kouta Kanda, Makoto Haraguchi, Yoshiaki Okubo
    Constructing Approximate Informative Basis of Association Rules. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2001, pp:141-154 [Conf]
  12. Yoshimitsu Kudoh, Makoto Haraguchi
    An Appropriate Abstraction for Construction a Compact Decision Tree. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2000, pp:295-298 [Conf]
  13. Yoshimitsu Kudoh, Makoto Haraguchi
    An Appropriate Abstraction for an Attribute-Oriented Induction. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:43-55 [Conf]
  14. Yoshiaki Okubo, Makoto Haraguchi
    Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2003, pp:418-425 [Conf]
  15. Yoshiaki Okubo, Makoto Haraguchi, Bin Shi
    Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:346-353 [Conf]
  16. Tsuyoshi Taniguchi, Makoto Haraguchi
    An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:227-240 [Conf]
  17. Makoto Haraguchi
    Towards a Legal Reasoning System based on Description Logics: A Position Paper. [Citation Graph (0, 0)][DBLP]
    Description Logics, 1996, pp:129-131 [Conf]
  18. Makoto Haraguchi, Yoshimitsu Kudoh
    Some Criterions for Selecting the Best Data Abstractions. [Citation Graph (0, 0)][DBLP]
    Progress in Discovery Science, 2002, pp:156-177 [Conf]
  19. Ken Sadohara, Makoto Haraguchi
    Analogical Logic Program Synthesis from Examples. [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:232-244 [Conf]
  20. Tokuyasu Kakuta, Makoto Haraguchi
    A demonstration of a legal reasoning system based on teleological analogies. [Citation Graph (0, 0)][DBLP]
    ICAIL, 1999, pp:196-205 [Conf]
  21. Yoshiaki Okubo, Makoto Haraguchi
    Attacking Legal Argument by Examining Stability of Case Citation with Goal-Dependent Abstraction. [Citation Graph (0, 0)][DBLP]
    ICAIL, 1997, pp:190-197 [Conf]
  22. Hajime Yoshino, Makoto Haraguchi, Seiichiro Sakurai, Sigeru Kagayama
    Towards a Legal Analogical Reasoning System: Knowledge Representation and Reasoning Methods. [Citation Graph (0, 0)][DBLP]
    ICAIL, 1993, pp:110-116 [Conf]
  23. Yoshimitsu Kudoh, Makoto Haraguchi
    Detecting a Compact Decision Tree Based on an Appropriate Abstraction. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:60-70 [Conf]
  24. Masaaki Narita, Makoto Haraguchi, Yoshiaki Okubo
    Data Abstractions for Numerical Attributes in Data Mining. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:35-42 [Conf]
  25. Ken Sadohara, Makoto Haraguchi
    Using Abstraction Schemata in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:256-263 [Conf]
  26. Yoshiaki Okubo, Yoshimitsu Kudoh, Makoto Haraguchi
    Constructing Appropriate Data Abstractions for Mining Classification Knowledge. [Citation Graph (0, 0)][DBLP]
    INAP, 2001, pp:275-284 [Conf]
  27. Yoshiaki Okubo, Yoshimitsu Kudoh, Makoto Haraguchi
    Constructing Appropriate Data Abstractions for Mining Classification Knowledge. [Citation Graph (0, 0)][DBLP]
    INAP (LNCS Volume), 2001, pp:276-289 [Conf]
  28. Makoto Haraguchi, Yoshiaki Okubo
    An Extended Branch and Bound Search Algorithm for Finding Top- N Formal Concepts of Documents. [Citation Graph (0, 0)][DBLP]
    JSAI, 2006, pp:276-288 [Conf]
  29. Makoto Haraguchi
    Analogical Reasoning using Transformations of Rules. [Citation Graph (0, 0)][DBLP]
    LP, 1985, pp:56-65 [Conf]
  30. Makoto Haraguchi
    A Reasoning System for Legal Analogy. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 14, 1993, pp:329-352 [Conf]
  31. Tsuyoshi Taniguchi, Makoto Haraguchi, Yoshiaki Okubo
    Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:537-548 [Conf]
  32. Yoshiaki Okubo, Makoto Haraguchi, Yan Fang Zheng
    A Method for Finding Consistent Hypotheses Using Abstraction. [Citation Graph (0, 0)][DBLP]
    SARA, 2000, pp:313-316 [Conf]
  33. Yoshiaki Okubo, Makoto Haraguchi
    Finding Conceptual Document Clusters with Improved Top-N Formal Concept Search. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2006, pp:347-351 [Conf]
  34. Masaharu Yoshioka, Makoto Haraguchi
    An Appropriate Boolean Query Reformulation Interface for Information Retrieval Based on Adaptive Generalization. [Citation Graph (0, 0)][DBLP]
    WIRI, 2005, pp:145-150 [Conf]
  35. Tokuyasu Kakuta, Makoto Haraguchi, Yoshiaki Okubo
    A Goal-Dependent Abstraction for Legal Reasoning by Analogy. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Law, 1997, v:5, n:1-2, pp:97-118 [Journal]
  36. Yoshiaki Okubo, Makoto Haraguchi
    Constructing Predicate Mappings for Goal-Dependent Abstraction. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 1998, v:23, n:1-2, pp:169-197 [Journal]
  37. Makoto Haraguchi, Yoshiaki Okubo, Tokuyasu Kakuta
    A Logical Foundation of Metaphoric Search Based on Abstraction Approach. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2000, v:4, n:B, pp:53-81 [Journal]
  38. Yoshiaki Okubo, Makoto Haraguchi
    Attacking Legal Argument by Pointing Out the Incoherence of Interpretation of Statute. [Citation Graph (0, 0)][DBLP]
    JACIII, 1997, v:1, n:2, pp:104-113 [Journal]
  39. Yoshiaki Okubo, Makoto Haraguchi
    Planning with Abstraction Based on Partial Predicate Mappings. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1994, v:12, n:4, pp:409-437 [Journal]
  40. Yuto Komeiji, Makoto Haraguchi, Umpei Nagashima
    Parallel molecular dynamics simulation of a protein. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 2001, v:27, n:8, pp:977-987 [Journal]
  41. Masaharu Yoshioka, Makoto Haraguchi
    On a combination of probabilistic and boolean ir models for WWW document retrieval. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Asian Lang. Inf. Process., 2005, v:4, n:3, pp:340-356 [Journal]
  42. Yoshimitsu Kudoh, Makoto Haraguchi, Yoshiaki Okubo
    Data abstractions for decision tree induction. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2003, v:292, n:2, pp:387-416 [Journal]
  43. Kenji Sato, Yoshiaki Okubo, Makoto Haraguchi, Susumu Kunifuji
    Data Mining of Time-Series Medical Data by Formal Concept Analysis. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:1214-1221 [Conf]

  44. Implicit Groups of Web Pages as Constrained Top N Concepts. [Citation Graph (, )][DBLP]


  45. 3-D Rehabilitation Systems for Upper Limbs Using ER Actuators/Brakes with High Safety: "EMUL", "Robotherapist" and "PLEMO". [Citation Graph (, )][DBLP]


  46. An Algorithm for Extracting Rare Concepts with Concise Intents. [Citation Graph (, )][DBLP]


  47. Finding Top-N Pseudo Formal Concepts with Core Intents. [Citation Graph (, )][DBLP]


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