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The Resource Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.)
Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.)
Resource Information
The item Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
- Language
- eng
- Extent
- xii, 494 pages
- Contents
-
- The 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
- An 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
- A 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
- A 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.]
- An 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.]
- A 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
- Isbn
- 9783540429562
- Label
- Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings
- Title
- Discovery science
- Title remainder
- 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings
- Statement of responsibility
- Klaus P. Jantke, Ayumi Shinohara (eds.)
- Title variation
- DS 2001
- Subject
-
- Computer science -- Congresses
- Conference papers and proceedings
- Data Mining
- Discoveries in science
- Discoveries in science -- Congresses
- Découvertes scientifiques -- Congrès
- Découvertes scientifiques -- Congrès
- Informatique -- Congrès
- Kennissystemen
- Kongress
- Kongress -- Washington (DC) -- 2001
- Künstliche Intelligenz
- Maschinelles Lernen
- Philosophie des sciences -- Congrès
- Science -- Philosophy
- Science -- Philosophy -- Congresses
- Sciences -- Philosophie -- Congrès
- Washington (DC, 2001)
- Wissenserwerb
- Wissensextraktion
- analyse donnée
- apprentissage machine
- extraction connaissance
- internet
- modélisation apprentissage
- recherche documentaire
- reconnaissance forme
- système classification
- Computer science
- Language
- eng
- Cataloging source
- UKM
- Illustrations
- illustrations
- Index
- index present
- LC call number
-
- Q174
- QA76
- LC item number
-
- .I5625 2001
- .L4 no. 2226
- Literary form
- non fiction
- http://bibfra.me/vocab/lite/meetingDate
- 2001
- http://bibfra.me/vocab/lite/meetingName
- International Conference on Discovery Science
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Jantke, K. P.
- Shinohara, Ayumi
- Series statement
- Lecture notes in computer science
- Series volume
- 2226.
- http://library.link/vocab/subjectName
-
- Science
- Discoveries in science
- Computer science
- système classification
- reconnaissance forme
- modélisation apprentissage
- apprentissage machine
- internet
- recherche documentaire
- analyse donnée
- extraction connaissance
- Découvertes scientifiques
- Informatique
- Sciences
- Computer science
- Discoveries in science
- Science
- Kennissystemen
- Découvertes scientifiques
- Philosophie des sciences
- Data Mining
- Kongress
- Künstliche Intelligenz
- Maschinelles Lernen
- Wissenserwerb
- Wissensextraktion
- Label
- Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- The 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 -- An 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 -- A 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 -- A 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.] -- An 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.] -- A 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
- Dimensions
- 24 cm.
- Dimensions
- unknown
- Extent
- xii, 494 pages
- Isbn
- 9783540429562
- Lccn
- 2002281797
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- Specific material designation
- remote
- System control number
-
- (OCoLC)48572618
- (OCoLC)ocm48572618
- Label
- Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- The 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 -- An 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 -- A 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 -- A 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.] -- An 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.] -- A 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
- Dimensions
- 24 cm.
- Dimensions
- unknown
- Extent
- xii, 494 pages
- Isbn
- 9783540429562
- Lccn
- 2002281797
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- Specific material designation
- remote
- System control number
-
- (OCoLC)48572618
- (OCoLC)ocm48572618
Subject
- Computer science -- Congresses
- Conference papers and proceedings
- Data Mining
- Discoveries in science
- Discoveries in science -- Congresses
- Découvertes scientifiques -- Congrès
- Découvertes scientifiques -- Congrès
- Informatique -- Congrès
- Kennissystemen
- Kongress
- Kongress -- Washington (DC) -- 2001
- Künstliche Intelligenz
- Maschinelles Lernen
- Philosophie des sciences -- Congrès
- Science -- Philosophy
- Science -- Philosophy -- Congresses
- Sciences -- Philosophie -- Congrès
- Washington (DC, 2001)
- Wissenserwerb
- Wissensextraktion
- analyse donnée
- apprentissage machine
- extraction connaissance
- internet
- modélisation apprentissage
- recherche documentaire
- reconnaissance forme
- système classification
- Computer science
Genre
Member of
- Lecture notes in computer science, Lecture notes in artificial intelligence
- Lecture notes in computer science, 2226
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/portal/Discovery-science--4th-international-conference/aFuMDRvy7-w/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/Discovery-science--4th-international-conference/aFuMDRvy7-w/">Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/portal/Discovery-science--4th-international-conference/aFuMDRvy7-w/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/Discovery-science--4th-international-conference/aFuMDRvy7-w/">Discovery science : 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001 : proceedings, Klaus P. Jantke, Ayumi Shinohara (eds.)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>