Discovery Science (Record no. 180600)

MARC details
000 -LEADER
fixed length control field 07144nam a22006495i 4500
001 - CONTROL NUMBER
control field 978-3-540-46493-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125700.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2006 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540464938
-- 978-3-540-46493-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/11893318
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q174-175.3
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number B67
072 #7 - SUBJECT CATEGORY CODE
Subject category code PDA
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI075000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PDA
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 501
Edition number 23
245 10 - TITLE STATEMENT
Title Discovery Science
Medium [electronic resource] :
Remainder of title 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings /
Statement of responsibility, etc edited by Nada Lavrač, Ljupco Todorovski, Klaus P. Jantke.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2006.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2006.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 386 p.
Other physical details online resource.
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-- computer
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-- online resource
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-- text file
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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 4265
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Invited Papers -- e-Science and the Semantic Web: A Symbiotic Relationship -- Data-Driven Discovery Using Probabilistic Hidden Variable Models -- Reinforcement Learning and Apprenticeship Learning for Robotic Control -- The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods -- Spectral Norm in Learning Theory: Some Selected Topics -- Long Papers -- Classification of Changing Regions Based on Temporal Context in Local Spatial Association -- Kalman Filters and Adaptive Windows for Learning in Data Streams -- Scientific Discovery: A View from the Trenches -- Optimal Bayesian 2D-Discretization for Variable Ranking in Regression -- Text Data Clustering by Contextual Graphs -- Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation -- Mining Approximate Motifs in Time Series -- Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets -- A New Family of String Classifiers Based on Local Relatedness -- On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets -- Mining Sectorial Episodes from Event Sequences -- A Voronoi Diagram Approach to Autonomous Clustering -- Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations -- Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data -- Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases -- Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts -- Analysis of Linux Evolution Using Aligned Source Code Segments -- Rule-Based Prediction of Rare Extreme Values -- A Pragmatic Logic of Scientific Discovery -- Change Detection with Kalman Filter and CUSUM -- Automatic Recognition of Landforms on MarsUsing Terrain Segmentation and Classification -- A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms -- Model-Based Estimation of Word Saliency in Text -- Regular Papers -- Learning Bayesian Network Equivalence Classes from Incomplete Data -- Interesting Patterns Extraction Using Prior Knowledge -- Visual Interactive Subgroup Discovery with Numerical Properties of Interest -- Contextual Ontological Concepts Extraction -- Experiences from a Socio-economic Application of Induction Trees -- Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA) -- Symmetric Item Set Mining Based on Zero-Suppressed BDDs -- Mathematical Models of Category-Based Induction -- Automatic Construction of Static Evaluation Functions for Computer Game Players -- Databases Reduction Simultaneously by Ordered Projection -- Mapping Ontologies in an Air Pollution Monitoring and Control Agent-Based System -- Information Theory and Classification Error in Probabilistic Classifiers -- Checking Scientific Assumptions by Modeling -- Incremental Algorithm Driven by Error Margins -- Feature Construction and ?-Free Sets in 0/1 Samples -- Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates -- A Novel Framework for Discovering Robust Cluster Results -- Gene Selection for Classifying Microarray Data Using Grey Relation Analysis.
520 ## - SUMMARY, ETC.
Summary, etc The 9th International Conference on Discovery Science (DS 2006) was held in Barcelona, Spain, on 7–10 October 2006. The conference was collocated with the 17th International Conference on Algorithmic Learning Theory (ALT 2006). The two conferences shared the invited talks. This LNAI volume, containing the proceedings of the 9th International C- ference onDiscoveryScience, is structured in three parts. The ?rstpart contains the papers/abstracts of the invited talks, the second part contains the accepted long papers, and the third part the accepted regular (short) papers. Out of 87 submitted papers, 23 were accepted for publication as long papers, and 18 as regular papers. All the submitted papers were reviewed by two or three ref- ees. In addition to the presentations of accepted papers, the DS 2006 conference program consisted of three invited talks, two tutorials, the collocated ALT 2006 conference and the Pascal Dialogues workshop. We wish to express our gratitude to – the authors of submitted papers, – the program committee and other referees for their thorough and timely paper evaluation, – DS 2006 invited speakers Carole Goble and Padhraic Smyth, as well as - drew Ng as joint DS 2006 and ALT 2006 invited speaker, – invited tutorial speakers Luis Torgo and Michael May, – the local organization committee chaired by Ricard Gavalda, ` – DS 2006 conference chair Klaus P.
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 Artificial intelligence.
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 Information technology
General subdivision Management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Data processing.
650 14 - 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 Artificial Intelligence.
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 Computer Application in Administrative Data Processing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Social and Behavioral Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lavrač, Nada.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Todorovski, Ljupco.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jantke, Klaus P.
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 9783540464914
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540831587
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 4265
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/11893318">https://doi.org/10.1007/11893318</a>
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Koha item type eBooks-CSE-Springer

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