Abstract is missing.
- The Discovery Science Project in JapanSetsuo Arikawa. 1-2 [doi]
- Discovering Mechanisms: A Computational Philosophy of Science PerspectiveLindley Darden. 3-15 [doi]
- Queries RevisitedDana Angluin. 16 [doi]
- Inventing Discovery Tools: Combining Information Visualization with Data MiningBen Shneiderman. 17-28 [doi]
- Robot Baby 2001Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal. 29 [doi]
- VML: A View Modeling Language for Computational Knowledge DiscoveryHideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano. 30-44 [doi]
- Computational Discovery of Communicable Knowledge: Symposium ReportSaso Dzeroski, Pat Langley. 45-49 [doi]
- Bounding Negative Information in Frequent Sets AlgorithmsInmaculada Fortes Ruiz, José L. Balcázar, Rafael Morales Bueno. 50-58 [doi]
- Functional TreesJoao Gama. 59-73 [doi]
- Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological ThinkingMichael E. Gorman, Alexandra Kincannon, Matthew M. Mehalik. 74-86 [doi]
- Clipping and Analyzing News Using Machine Learning TechniquesHans Gründel, Tino Naphtali, Christian Wiech, Jan-Marian Gluba, Maiken Rohdenburg, Tobias Scheffer. 87-99 [doi]
- Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of MutagenicityTamás Horváth, Stefan Wrobel. 100-112 [doi]
- Eliminating Useless Parts in Semi-structured Documents Using Alternation CountsDaisuke Ikeda, Yasuhiro Yamada, Sachio Hirokawa. 113-127 [doi]
- Multicriterially Best ExplanationsNaresh Iyer, John R. Josephson. 128-140 [doi]
- Constructing Approximate Informative Basis of Association RulesKouta Kanda, Makoto Haraguchi, Yoshiaki Okubo. 141-154 [doi]
- Passage-Based Document Retrieval as a Tool for Text Mining with User s Information NeedsKoichi Kise, Markus Junker, Andreas Dengel, Keinosuke Matsumoto. 155-169 [doi]
- Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New ResultsSakir Kocabas. 170-181 [doi]
- An Integrated Framework for Extended Discovery in Particle PhysicsSakir Kocabas, Pat Langley. 182-195 [doi]
- Stimulating DiscoveryRonald N. Kostoff. 196-213 [doi]
- Assisting Model-Discovery in NeuroendocrinologyAshesh Mahidadia, Paul Compton. 214-227 [doi]
- A General Theory of Deduction, Induction, and LearningEric Martin, Arun Sharma, Frank Stephan. 228-242 [doi]
- Learning Conformation RulesOsamu Maruyama, Takayoshi Shoudai, Emiko Furuichi, Satoru Kuhara, Satoru Miyano. 243-257 [doi]
- Knowledge Navigation on Visualizing Complementary DocumentsNaohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka. 258-270 [doi]
- KeyWorld: Extracting Keywords from a Document as a Small WorldYutaka Matsuo, Yukio Ohsawa, Mitsuru Ishizuka. 271-281 [doi]
- A Method for Discovering Purified Web CommunitiesTsuyoshi Murata. 282-289 [doi]
- Divide and Conquer Machine Learning for a Genomics Analogy Problem (Progress Report)Ming Ouyang, John Case, Joan Burnside. 290-303 [doi]
- Towards a Method of Searching a Diverse Theory Space for Scientific DiscoveryJoseph Phillips. 304-322 [doi]
- Efficient Local Search in Conceptual ClusteringCéline Robardet, Fabien Feschet. 323-335 [doi]
- Computational Revision of Quantitative Scientific ModelsKazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster. 336-349 [doi]
- An Efficient Derivation for Elementary Formal Systems Based on Partial UnificationNoriko Sugimoto, Hiroki Ishizaka, Takeshi Shinohara. 350-364 [doi]
- Worst-Case Analysis of Rule DiscoveryEinoshin Suzuki. 365-377 [doi]
- Mining Semi-structured Data by Path ExpressionsKatsuaki Taniguchi, Hiroshi Sakamoto, Hiroki Arimura, Shinichi Shimozono, Setsuo Arikawa. 378-388 [doi]
- Theory Revision in Equation DiscoveryLjupco Todorovski, Saso Dzeroski. 389-400 [doi]
- Simplified Training Algorithms for Hierarchical Hidden Markov ModelsNobuhisa Ueda, Taisuke Sato. 401-415 [doi]
- Discovering Repetitive Expressions and Affinities from Anthologies of Classical Japanese PoemsKoichiro Yamamoto, Masayuki Takeda, Ayumi Shinohara, Tomoko Fukuda, Ichiro Nanri. 416-428 [doi]
- Web Site Rating and Improvement Based on Hyperlink StructureHironori Hiraishi, Hisayoshi Kato, Naonori Ohtsuka, Fumio Mizoguchi. 429-434 [doi]
- A Practical Algorithm to Find the Best Episode PatternsMasahiro Hirao, Shunsuke Inenaga, Ayumi Shinohara, Masayuki Takeda, Setsuo Arikawa. 435-440 [doi]
- Interactive Exploration of Time Series DataHarry Hochheiser, Ben Shneiderman. 441-446 [doi]
- Clustering Rules Using Empirical Similarity of Support SetsShreevardhan Lele, Bruce L. Golden, Kimberly Ozga, Edward A. Wasil. 447-451 [doi]
- Computational Lessons from a Cognitive Study of InventionMarin Simina, Michael E. Gorman, Janet L. Kolodner. 452-457 [doi]
- Component-Based Framework for Virtual Information MaterializationYuzuru Tanaka, Tsuyoshi Sugibuchi. 458-463 [doi]
- Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web LogsLida Tang, Ben Shneiderman. 464-469 [doi]
- Separation of Photoelectrons via Multivariate Maxwellian Mixture ModelGenta Ueno, Nagatomo Nakamura, Tomoyuki Higuchi. 470-475 [doi]
- Logic of Drug Discovery: A Descriptive Model of a Practice in NeuropharmacologyAlexander P. M. van den Bosch. 476-481 [doi]
- SCOOP: A Record Extractor without Knowledge on InputYasuhiro Yamada, Daisuke Ikeda, Sachio Hirokawa. 482-487 [doi]
- Meta-analysis of Mutagenes DiscoveryPremysl Zak, Pavel Spacil, Jaroslava Halova. 488-492 [doi]