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Hiroshi Sakai: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hiroshi Sakai, Kazuhide Iwata, Shigeo Kamiya, Masaaki Abe, Akio Tanaka, Shigeki Shibayama, Kunio Murakami
    Design and Implementation of the Relational Datbase Engine. [Citation Graph (3, 0)][DBLP]
    FGCS, 1984, pp:419-426 [Conf]
  2. Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh, Toshiaki Takewaki, Hiroshi Sakai, Shigeki Shibayama
    Unification-Based Query Language for Relational Knowledge Bases and Its Parallel Execution. [Citation Graph (1, 0)][DBLP]
    FGCS, 1988, pp:896-903 [Conf]
  3. Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh, Hiroshi Sakai, Shigeki Shibayama
    Parallel Control Technique and Performance of an MPPM Knowledge-Base Machine. [Citation Graph (1, 10)][DBLP]
    ICDE, 1988, pp:210-217 [Conf]
  4. Hiroshi Sakai, Shigeki Shibayama, Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh
    A Simulation Study of a Knowledge Base Machine Architecture. [Citation Graph (1, 0)][DBLP]
    IWDM, 1987, pp:585-598 [Conf]
  5. Shigeki Shibayama, Hiroshi Sakai, Toshiaki Takewaki, Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh
    Overview of Knowledge Base Mechanism. [Citation Graph (0, 0)][DBLP]
    FGCS, 1988, pp:197-207 [Conf]
  6. Shigeaki Iwasa, Shung Ho Shing, Hisashi Mogi, Hiroshi Nozuwe, Hiroo Hayashi, Osamu Wakamori, Takashi Ohmizo, Kuninori Tanaka, Hiroshi Sakai, Mitsuo Saito
    SSM-MP: more scalability in shared-memory multi-processor. [Citation Graph (0, 0)][DBLP]
    ICCD, 1995, pp:558-0 [Conf]
  7. Hiroshi Sakai
    On a Rough Sets Based Data Mining Tool in Prolog: An Overview. [Citation Graph (0, 0)][DBLP]
    INAP, 2005, pp:48-65 [Conf]
  8. Shigeo Kamiya, Kazuhide Iwata, Hiroshi Sakai, Susumu Matsuda, Shigeki Shibayama, Kunio Murakami
    A Hardware Pipeline Algorithm for Relational Database Operation and Its Implementation Using Dedicated Hardware. [Citation Graph (0, 0)][DBLP]
    ISCA, 1985, pp:250-257 [Conf]
  9. Hiroshi Sakai
    A Framework of Rough Sets Based Rule Generation in Non-deterministic Information Systems. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:143-151 [Conf]
  10. Hiroshi Sakai
    Two Procedures for Dependencies among Attributes in a Table with Non-deterministic Information: A Summary. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:301-305 [Conf]
  11. Hiroshi Sakai
    Inference Methods and Semantics on Or-type Knowledge Bases. [Citation Graph (0, 0)][DBLP]
    LP, 1988, pp:136-155 [Conf]
  12. Hiroshi Sakai, Tetsuya Murai, Michinori Nakata
    On a Tool for Rough Non-deterministic Information Analysis and Its Perspective for Handling Numerical Data. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:203-214 [Conf]
  13. Michinori Nakata, Hiroshi Sakai
    Checking Whether or Not Rough-Set-Based Methods to Incomplete Data Satisfy a Correctness Criterion. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:227-239 [Conf]
  14. Takeshi Nakatsuru, Koji Murakami, Hiroshi Sakai
    Context-Aware Information Provision to the Mobile Phone Standby Screen. [Citation Graph (0, 0)][DBLP]
    MDM, 2006, pp:43- [Conf]
  15. Hiroshi Sakai, Akimichi Okuma
    An Algorithm for Checking Dependencies of Attributes in a Table with Non-deterministic Information: A Rough Sets Based Approach. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:219-229 [Conf]
  16. Yoshiaki Segawa, Hiroshi Sakai, Toshio Endoh, Kazuhito Murakami, Takashi Toriu, Hiroyasu Koshimizu
    Face Recognition through Hough Transform for Irises Extraction and Projection Procedures for Parts Localization. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:625-636 [Conf]
  17. Michinori Nakata, Hiroshi Sakai
    Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:213-223 [Conf]
  18. Hiroshi Sakai
    Some Issues on Nondeterministic Knowledge Bases with Incomplete and Selective Information. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 1998, pp:424-431 [Conf]
  19. Hiroshi Sakai, Michinori Nakata
    On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:264-273 [Conf]
  20. Michinori Nakata, Hiroshi Sakai
    Rough Sets Handling Missing Values Probabilistically Interpreted. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:325-334 [Conf]
  21. Hiroshi Sakai, Michinori Nakata
    Discernibility Functions and Minimal Rules in Non-deterministic Information Systems. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:254-264 [Conf]
  22. Hiroshi Sakai, Akimichi Okuma
    An Algorithm for Finding Equivalence Relations from Tables with Non-Deterministic Information. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 1999, pp:64-72 [Conf]
  23. Michinori Nakata, Hiroshi Sakai
    Applying Rough Sets to Data Tables Containing Possibilistic Information. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:147-155 [Conf]
  24. Hiroshi Sakai
    Effective Procedures for Handling Possible Equivalence Relations in Non-deterministic Information Systems. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2001, v:48, n:4, pp:343-362 [Journal]
  25. Hiroshi Sakai
    On a Framework for Logic Programming with Incomplete Information. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1993, v:19, n:3/4, pp:223-234 [Journal]
  26. Hiroshi Sakai, Akimichi Okuma
    On a Theorem Prover for Variational Logic Programs with Functors Setu and Sets. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, v:8, n:1, pp:73-92 [Journal]
  27. Hiroshi Sakai, Masahiro Inuiguchi
    Special Issue on Rough Sets and Granular Computing. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:5, pp:605-605 [Journal]
  28. Hiroshi Sakai, Michinori Nakata
    An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:5, pp:695-702 [Journal]
  29. Hiroshi Sakai
    Generalized Prikry forcing and iteration of generic ultrapowers. [Citation Graph (0, 0)][DBLP]
    Math. Log. Q., 2005, v:51, n:5, pp:507-523 [Journal]
  30. Hiroshi Sakai
    Possible Equivalence Relations and Their Application to Hypothesis Generation in Non-deterministic Information Systems. [Citation Graph (0, 0)][DBLP]
    , 2004, v:, n:, pp:82-106 [Journal]
  31. Hiroshi Sakai, Akimichi Okuma
    Basic Algorithms and Tools for Rough Non-deterministic Information Analysis. [Citation Graph (0, 0)][DBLP]
    , 2004, v:, n:, pp:209-231 [Journal]
  32. Jin-Kyu Choi, Hiroshi Sakai, Toshinari Tanaka
    Autonomous Towed Vehicle for Underwater Inspection in a Port Area. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:188-193 [Conf]
  33. Hiroshi Sakai, Kazuhiro Koba, Ryuji Ishibashi, Michinori Nakata
    On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values. [Citation Graph (0, 0)][DBLP]
    MDAI, 2007, pp:269-281 [Conf]
  34. Michinori Nakata, Hiroshi Sakai
    Applying Rough Sets to Information Tables Containing Probabilistic Values. [Citation Graph (0, 0)][DBLP]
    MDAI, 2007, pp:282-294 [Conf]
  35. Hiroshi Sakai, Ryuji Ishibashi, Kazuhiro Koba, Michinori Nakata
    On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2007, pp:280-288 [Conf]
  36. Michinori Nakata, Hiroshi Sakai
    Applying Rough Sets to Data Tables Containing Missing Values. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:181-191 [Conf]
  37. Jin-Kyu Choi, Tetsuya Shiraishi, Toshinari Tanaka, Hiroshi Sakai
    A practical and useful autonomous towed vehicle for port area inspection. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2007, v:21, n:3, pp:351-370 [Journal]
  38. Michinori Nakata, Hiroshi Sakai
    Lower and Upper Approximations in Data Tables Containing Possibilistic Information. [Citation Graph (0, 0)][DBLP]
    T. Rough Sets, 2007, v:7, n:, pp:170-189 [Journal]

  39. Applications of Logic Programs with Functor Set to Automated Problem Solving Under Uncertainty. [Citation Graph (, )][DBLP]


  40. An Overview of a Software Tool in Rough Non-deterministic Information Analysis. [Citation Graph (, )][DBLP]


  41. Applying Rough Sets to Information Tables Containing Missing Values. [Citation Graph (, )][DBLP]


  42. Lower and Upper Approximations of Rules in Non-deterministic Information Systems. [Citation Graph (, )][DBLP]


  43. Rule Generation in Lipski's Incomplete Information Databases. [Citation Graph (, )][DBLP]


  44. The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. [Citation Graph (, )][DBLP]


  45. Rough Sets under Non-deterministic Information. [Citation Graph (, )][DBLP]


  46. Two Rough Approximations for Information Tables Containing Missing Values. [Citation Graph (, )][DBLP]


  47. Rough-set-based approaches to data containing incomplete information: possibility-based cases. [Citation Graph (, )][DBLP]


  48. Rough Sets Based Minimal Certain Rule Generation in Non-deterministic Information Systems: An Overview. [Citation Graph (, )][DBLP]


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