 | 2009 |
|---|
| 24 |       | Yoshiaki Okubo,
Makoto Haraguchi:
Finding Top-N Pseudo Formal Concepts with Core Intents.
MLDM 2009: 479-493 |
| 2008 |
|---|
| 23 | | A. Li,
Makoto Haraguchi,
Yoshiaki Okubo:
Implicit Groups of Web Pages as Constrained Top N Concepts.
Web Intelligence/IAT Workshops 2008: 190-194 |
| 2007 |
|---|
| 22 | | Kenji Sato,
Yoshiaki Okubo,
Makoto Haraguchi,
Susumu Kunifuji:
Data Mining of Time-Series Medical Data by Formal Concept Analysis.
KES (2) 2007: 1214-1221 |
| 2006 |
|---|
| 21 | | Makoto Haraguchi,
Yoshiaki Okubo:
An Extended Branch and Bound Search Algorithm for Finding Top- N Formal Concepts of Documents.
JSAI 2006: 276-288 |
| 20 | | Yoshiaki Okubo,
Makoto Haraguchi:
Finding Conceptual Document Clusters with Improved Top-N Formal Concept Search.
Web Intelligence 2006: 347-351 |
| 2005 |
|---|
| 19 | | Yoshiaki Okubo,
Makoto Haraguchi,
Bin Shi:
Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search.
Discovery Science 2005: 346-353 |
| 18 | | Tsuyoshi Taniguchi,
Makoto Haraguchi,
Yoshiaki Okubo:
Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations.
MLDM 2005: 537-548 |
| 2003 |
|---|
| 17 | | Yoshiaki Okubo,
Makoto Haraguchi:
Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques.
Discovery Science 2003: 418-425 |
| 16 |  | Yoshimitsu Kudoh,
Makoto Haraguchi,
Yoshiaki Okubo:
Data abstractions for decision tree induction.
Theor. Comput. Sci. 292(2): 387-416 (2003) |
| 2002 |
|---|
| 15 | | Masaaki Narita,
Makoto Haraguchi,
Yoshiaki Okubo:
Data Abstractions for Numerical Attributes in Data Mining.
IDEAL 2002: 35-42 |
| 14 | | Yoshiaki Okubo,
Xiaobo Li:
Learning Semi-Lattice Codebooks for Image Compression.
SARA 2002: 342-343 |
| 2001 |
|---|
| 13 | | Kouta Kanda,
Makoto Haraguchi,
Yoshiaki Okubo:
Constructing Approximate Informative Basis of Association Rules.
Discovery Science 2001: 141-154 |
| 12 | | Yoshiaki Okubo,
Yoshimitsu Kudoh,
Makoto Haraguchi:
Constructing Appropriate Data Abstractions for Mining Classification Knowledge.
INAP 2001: 275-284 |
| 11 | | Yoshiaki Okubo,
Yoshimitsu Kudoh,
Makoto Haraguchi:
Constructing Appropriate Data Abstractions for Mining Classification Knowledge.
INAP (LNCS Volume) 2001: 276-289 |
| 2000 |
|---|
| 10 | | Yoshiaki Okubo,
Makoto Haraguchi,
Yan Fang Zheng:
A Method for Finding Consistent Hypotheses Using Abstraction.
SARA 2000: 313-316 |
| 9 | | Makoto Haraguchi,
Yoshiaki Okubo,
Tokuyasu Kakuta:
A Logical Foundation of Metaphoric Search Based on Abstraction Approach.
Electron. Trans. Artif. Intell. 4(B): 53-81 (2000) |
| 1999 |
|---|
| 8 | | Nobuhiro Morita,
Makoto Haraguchi,
Yoshiaki Okubo:
A Method of Similarity-Driven Knowledge Revision for Type Specializations.
ATL 1999: 194-205 |
| 1998 |
|---|
| 7 | | Yoshiaki Okubo,
Makoto Haraguchi:
Constructing Predicate Mappings for Goal-Dependent Abstraction.
Ann. Math. Artif. Intell. 23(1-2): 169-197 (1998) |
| 1997 |
|---|
| 6 | | Yoshiaki Okubo,
Makoto Haraguchi:
Attacking Legal Argument by Examining Stability of Case Citation with Goal-Dependent Abstraction.
ICAIL 1997: 190-197 |
| 5 | | Tokuyasu Kakuta,
Makoto Haraguchi,
Yoshiaki Okubo:
A Goal-Dependent Abstraction for Legal Reasoning by Analogy.
Artif. Intell. Law 5(1-2): 97-118 (1997) |
| 4 | | Yoshiaki Okubo,
Makoto Haraguchi:
Attacking Legal Argument by Pointing Out the Incoherence of Interpretation of Statute.
JACIII 1(2): 104-113 (1997) |
| 1994 |
|---|
| 3 | | Yoshiaki Okubo,
Makoto Haraguchi:
Constructing Predicate Mappings for Goal-Dependent Abstraction.
AII/ALT 1994: 516-531 |
| 2 | | Yoshiaki Okubo,
Makoto Haraguchi:
Planning with Abstraction Based on Partial Predicate Mappings.
New Generation Comput. 12(4): 409-437 (1994) |
| 1992 |
|---|
| 1 | | Yoshiaki Okubo,
Makoto Haraguchi:
Planning with Abstraction Based on Partial Predicate Mappings.
ALT 1992: 183-194 |
