Discovery Science (Record no. 188804)

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000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-540-45650-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423132530.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540456506
-- 978-3-540-45650-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/3-540-45650-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Discovery Science
Medium [electronic resource] :
Remainder of title 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001 Proceedings /
Statement of responsibility, etc edited by Klaus P. Jantke, Ayumi Shinohara.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2001.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2001.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 500 p.
Other physical details online resource.
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 2226
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Invited Papers -- The Discovery Science Project in Japan -- Discovering Mechanisms: A Computational Philosophy of Science Perspective -- Queries Revisited -- Inventing Discovery Tools: Combining Information Visualization with Data Mining -- Robot Baby 2001 -- Regular Papers -- VML: A View Modeling Language for Computational Knowledge Discovery -- Computational Discovery of Communicable Knowledge: Symposium Report -- Bounding Negative Information in Frequent Sets Algorithms -- Functional Trees -- Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological Thinking -- Clipping and Analyzing News Using Machine Learning Techniques -- Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity -- Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts -- Multicriterially Best Explanations -- Constructing Approximate Informative Basis of Association Rules -- Passage-Based Document Retrieval as a Tool for Text Mining with User’s Information Needs -- Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results -- An Integrated Framework for Extended Discovery in Particle Physics -- Stimulating Discovery -- Assisting Model-Discovery in Neuroendocrinology -- A General Theory of Deduction,Induction,and Learning -- Learning Conformation Rules -- Knowledge Navigation on Visualizing Complementary Documents -- KeyWorld:Extracting Keywords from Document s Small World -- A Method for Discovering Purified Web Communities -- Divide and Conquer Machine Learning for a Genomics Analogy Problem -- Towards a Method of Searching a Diverse Theory Space for Scientific Discovery -- Effcient Local Search in Conceptual Clustering -- Computational Revision of Quantitative Scientific Models -- AnEfficient Derivation for Elementary Formal Systems Based on Partial Unification -- Worst-Case Analysis of Rule Discovery -- Mining Semi-structured Data by Path Expressions -- Theory Revision in Equation Discovery -- Simplified Training Algorithms for Hierarchical Hidden Markov Models -- Discovering Repetitive Expressions and Affinities from Anthologies of Classical Japanese Poems -- Poster Papers -- Web Site Rating and Improvement Based on Hyperlink Structure -- A Practical Algorithm to Find the Best Episode Patterns -- Interactive Exploration of Time Series Data -- Clustering Rules Using Empirical Similarity of Support Sets -- Computational Lessons from a Cognitive Study of Invention -- Component-Based Framework for Virtual Information Materialization -- Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs -- Separation of Photoelectrons via Multivariate Maxwellian Mixture Model -- Logic of Drug Discovery: A Descriptive Model of a Practice in Neuropharmacology -- SCOOP: A Record Extractor without Knowledge on Input -- Meta-analysis of Mutagenes Discovery.
520 ## - SUMMARY, ETC.
Summary, etc These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It came up in conn- tion with the Japanese Discovery Science project (cf. Arikawa's invited lecture on The Discovery Science Project in Japan in the present volume) some time during the last few years. Setsuo Arikawa is the father in spirit of the Discovery Science conference series. He led the above mentioned project, and he is currently serving as the chairman of the international steering committee for the Discovery Science c- ference series. The other members of this board are currently (in alphabetical order) Klaus P. Jantke, Masahiko Sato, Ayumi Shinohara, Carl H. Smith, and Thomas Zeugmann. Colleagues and friends from all over the world took the opportunity of me- ing for this conference to celebrate Arikawa's 60th birthday and to pay tribute to his manifold contributions to science, in general, and to Learning Theory and Discovery Science, in particular. Algorithmic Learning Theory (ALT, for short) is another conference series initiated by Setsuo Arikawa in Japan in 1990. In 1994, it amalgamated with the conference series on Analogical and Inductive Inference (AII), when ALT was held outside of Japan for the first time.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Science
General subdivision Philosophy.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information storage and retrieval systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business information services.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Philosophy of Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element IT in Business.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jantke, Klaus P.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shinohara, Ayumi.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540429562
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783662189375
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 2226
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/3-540-45650-3">https://doi.org/10.1007/3-540-45650-3</a>
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Koha item type eBooks-CSE-Springer

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