4. DS 2001: Washington, DC, USA

@proceedings{DBLP:conf/dis/2001,
  editor    = {Klaus P. Jantke and
               Ayumi Shinohara},
  title     = {Discovery Science, 4th International Conference, DS 2001, Washington,
               DC, USA, November 25-28, 2001, Proceedings},
  booktitle = {Discovery Science},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2226},
  year      = {2001},
  isbn      = {3-540-42956-5},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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
  
• Joao 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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