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ORCID4th DS 2001: Washington, DC, USA
- Klaus P. Jantke, Ayumi Shinohara:
Discovery Science, 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001, Proceedings. Lecture Notes in Computer Science 2226, Springer 2001, ISBN 3-540-42956-5
Invited Papers
- Setsuo Arikawa:
The Discovery Science Project in Japan. 1-2 - Lindley Darden:
Discovering Mechanisms: A Computational Philosophy of Science Perspective. 3-15 - Dana Angluin:
Queries Revisited. 16 - Ben Shneiderman:
Inventing Discovery Tools: Combining Information Visualization with Data Mining. 17-28 - Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal:
Robot Baby 2001. 29
Regular Papers
- Hideo Bannai, Yoshinori Tamada
, Osamu Maruyama, Satoru Miyano:
VML: A View Modeling Language for Computational Knowledge Discovery. 30-44 - Saso Dzeroski, Pat Langley:
Computational Discovery of Communicable Knowledge: Symposium Report. 45-49 - Inmaculada Fortes Ruiz, José L. Balcázar, Rafael Morales Bueno:
Bounding Negative Information in Frequent Sets Algorithms. 50-58 - João Gama:
Functional Trees. 59-73 - Michael E. Gorman, Alexandra Kincannon, Matthew M. Mehalik:
Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological Thinking. 74-86 - Hans Gründel, Tino Naphtali, Christian Wiech, Jan-Marian Gluba, Maiken Rohdenburg, Tobias Scheffer:
Clipping and Analyzing News Using Machine Learning Techniques. 87-99 - Tamás Horváth, Stefan Wrobel:
Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity. 100-112 - Daisuke Ikeda, Yasuhiro Yamada, Sachio Hirokawa:
Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts. 113-127 - Naresh Iyer, John R. Josephson:
Multicriterially Best Explanations. 128-140 - Kouta Kanda, Makoto Haraguchi, Yoshiaki Okubo:
Constructing Approximate Informative Basis of Association Rules. 141-154 - Koichi Kise, Markus Junker, Andreas Dengel, Keinosuke Matsumoto:
Passage-Based Document Retrieval as a Tool for Text Mining with User's Information Needs. 155-169 - Sakir Kocabas:
Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results. 170-181 - Sakir Kocabas, Pat Langley:
An Integrated Framework for Extended Discovery in Particle Physics. 182-195 - Ronald N. Kostoff:
Stimulating Discovery. 196-213 - Ashesh Mahidadia, Paul Compton:
Assisting Model-Discovery in Neuroendocrinology. 214-227 - Eric Martin, Arun Sharma, Frank Stephan:
A General Theory of Deduction, Induction, and Learning. 228-242 - Osamu Maruyama, Takayoshi Shoudai, Emiko Furuichi, Satoru Kuhara, Satoru Miyano:
Learning Conformation Rules. 243-257 - Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka:
Knowledge Navigation on Visualizing Complementary Documents. 258-270 - Yutaka Matsuo, Yukio Ohsawa, Mitsuru Ishizuka:
KeyWorld: Extracting Keywords from a Document as a Small World. 271-281 - Tsuyoshi Murata:
A Method for Discovering Purified Web Communities. 282-289 - Ming Ouyang, John Case, Joan Burnside:
Divide and Conquer Machine Learning for a Genomics Analogy Problem (Progress Report). 290-303 - Joseph Phillips:
Towards a Method of Searching a Diverse Theory Space for Scientific Discovery. 304-322 - Céline Robardet, Fabien Feschet:
Efficient Local Search in Conceptual Clustering. 323-335 - Kazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster:
Computational Revision of Quantitative Scientific Models. 336-349 - Noriko Sugimoto, Hiroki Ishizaka, Takeshi Shinohara:
An Efficient Derivation for Elementary Formal Systems Based on Partial Unification. 350-364 - Einoshin Suzuki:
Worst-Case Analysis of Rule Discovery. 365-377 - Katsuaki Taniguchi, Hiroshi Sakamoto, Hiroki Arimura, Shinichi Shimozono, Setsuo Arikawa:
Mining Semi-structured Data by Path Expressions. 378-388 - Ljupco Todorovski, Saso Dzeroski:
Theory Revision in Equation Discovery. 389-400 - Nobuhisa Ueda, Taisuke Sato:
Simplified Training Algorithms for Hierarchical Hidden Markov Models. 401-415 - Koichiro Yamamoto, Masayuki Takeda, Ayumi Shinohara, Tomoko Fukuda, Ichiro Nanri:
Discovering Repetitive Expressions and Affinities from Anthologies of Classical Japanese Poems. 416-428
Poster Papers
- Hironori Hiraishi, Hisayoshi Kato, Naonori Ohtsuka, Fumio Mizoguchi:
Web Site Rating and Improvement Based on Hyperlink Structure. 429-434 - Masahiro Hirao, Shunsuke Inenaga, Ayumi Shinohara, Masayuki Takeda, Setsuo Arikawa:
A Practical Algorithm to Find the Best Episode Patterns. 435-440 - Harry Hochheiser, Ben Shneiderman:
Interactive Exploration of Time Series Data. 441-446 - Shreevardhan Lele, Bruce L. Golden, Kimberly Ozga, Edward A. Wasil:
Clustering Rules Using Empirical Similarity of Support Sets. 447-451 - Marin Simina, Michael E. Gorman, Janet L. Kolodner:
Computational Lessons from a Cognitive Study of Invention. 452-457 - Yuzuru Tanaka, Tsuyoshi Sugibuchi:
Component-Based Framework for Virtual Information Materialization. 458-463 - Lida Tang, Ben Shneiderman:
Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs. 464-469 - Genta Ueno, Nagatomo Nakamura, Tomoyuki Higuchi:
Separation of Photoelectrons via Multivariate Maxwellian Mixture Model. 470-475 - Alexander P. M. van den Bosch:
Logic of Drug Discovery: A Descriptive Model of a Practice in Neuropharmacology. 476-481 - Yasuhiro Yamada, Daisuke Ikeda, Sachio Hirokawa:
SCOOP: A Record Extractor without Knowledge on Input. 482-487 - Premysl Zak, Pavel Spacil, Jaroslava Halova:
Meta-analysis of Mutagenes Discovery. 488-492
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