Includes bibliographical references and index.
(کتابنامه)br
Discovery Science Project in Japan /Setsuo Arikawa -- Discovering Mechanisms: A Computational Philosophy of Science Perspective /Lindley Darden -- Queries Revisited /Dana Angluin -- Inventing Discovery Tools: Combining Information Visualization with Data Mining /Ben Shneiderman -- Robot Baby 2001 /Paul R. Cohen, Tim Oates and Niall Adams /[et al.[ -- VML: A View Modeling Language for Computational Knowledge Discovery /Hideo Bannai, Yoshinori Tamada and Osamu Maruyama /]et al.[ -- Computational Discovery of Communicable Knowledge: Symposium Report /Saso Dzeroski and Pat Langley -- Bounding Negative Information in Frequent Sets Algorithms /I. Fortes, J. L. Balcazar and R. Morales -- Functional Trees /Joao Gama -- Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological Thinking /Michael E. Gorman, Alexandra Kincannon and Matthew M. Mehalik -- Clipping and Analyzing News Using Machine Learning Techniques /Hans Grundel, Tino Naphtali and Christian Wiech /]et al.[ -- Towards Discovery of Deep and wide First-Order Structures: A Case Study in the Domain of Mutagenicity /Tamas Horvath and Stefan Wrobel -- Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts /Daisuke Ikeda, Yasuhiro Yamada and Sachio Hirokawa -- Multicriterially Best Explanations /Naresh S. Iyer and John R. Josephson -- Constructing Approximate Informative Basis of Association Rules /Kouta Kanda, Makoto Haraguchi and Yoshiaki Okubo -- Passage-Based Document Retrieval as a Tool for Text Mining with User's Information Needs /Koichi Kise, Markus Junker and Andreas Dengel /]et al.[ -- Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results /Sakir Kocabas -- Integrated Framework for Extended Discovery in Particle Physics /Sakir Kocabas and Pat Langley -- Stimulating Discovery /Ronald N. Kostoff -- Assisting Model-Discovery in Neuroendocrinology /Ashesh Mahidadia and Paul Compton -- General Theory of Deduction, Induction, and Learning /Eric Martin, Arun Sharma and Frank Stephan -- Learning Conformation Rules /Osamu Maruyama, Takayoshi Shoudai and Emiko Furuichi /]et al.[ -- Knowledge Navigation on Visualizing Complementary Documents /Naohiro Matsumura, Yukio Ohsawa and Mitsuru Ishizuka -- KeyWorld: Extracting Keywords from a Document as a Small World /Yutaka Matsuo, Yukio Ohsawa and Mitsuru Ishizuka -- Method for Discovering Purified Web Communities /Tsuyoshi Murata -- Divide and Conquer Machine Learning for a Genomics Analogy Problem /Ming Ouyang, John Case and Joan Burnside -- Towards a Method of Searching a Diverse Theory Space for Scientific Discovery /Joseph Phillips -- Efficient Local Search in Conceptual Clustering /Celine Robardet and Fabien Feschet -- Computational Revision of Quantitative Scientific Models /Kazumi Saito, Pat Langley and Trond Grenager /]et al.[ -- Efficient Derivation for Elementary Formal Systems Based on Partial Unification /Noriko Sugimoto, Hiroki Ishizaka and Takeshi Shinohara -- Worst-Case Analysis of Rule Discovery /Einoshin Suzuki -- Mining Semi-structured Data by Path Expressions /Katsuaki Taniguchi, Hiroshi Sakamoto and Hiroki Arimura /]et al.[ -- Theory Revision in Equation Discovery /Ljupco Todorovski and Saso Dzeroski -- Simplified Training Algorithms for Hierarchical Hidden Markov Models /Nobuhisa Ueda and Taisuke Sato -- Discovering Repetitive Expressions and Affinities from Anthologies of Classical Japanese Poems /Koichiro Yamamoto, Masayuki Takeda and Ayumi Shinohara /]et al.[ -- Web Site Rating and Improvement Based on Hyperlink Structure /Hironori Hiraishi, Hisayoshi Kato and Naonori Ohtsuka /]et al.[ -- Practical Algorithm to Find the Best Episode Patterns /Masahiro Hirao, Shunsuke Inenaga and Ayumi Shinohara /]et al.[ -- Interactive Explorations of Time Series Data /Harry Hochheiser and Ben Shneiderman -- Clustering Rules Using Empirical Similarity of Support Sets /Shreevardhan Lele, Bruce Golden and Kimberly Ozga /]et al.] -- Computational Lessons from a Cognitive Study of Invention /Marin Simina, Michael E. Gorman and Janet L. Kolodner -- Component-Based Framework for Virtual Information Materialization /Yuzuru Tanaka and Tsuyoshi Sugibuchi -- Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs /Lida Tang and Ben Shneiderman -- Separation of Photoelectrons via Multivariate Maxwellian Mixture Model /Genta Ueno, Nagatomo Nakamura and Tomoyuki Higuchi -- Logic of Drug Discovery: A Descriptive Model of a Practice in Neuropharmacology /Alexander P. M. van den Bosch -- SCOOP: A Record Extractor without Knowledge on Input /Yasuhiro Yamada, Daisuke Ikeda and Sachio Hirokawa -- Meta-analysis of Mutagenes Discovery /Premysl Zak, Pavel Spacil and Jaroslava Halova.
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