Data Mining and Bioinformatics (Record no. 180756)

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001 - CONTROL NUMBER
control field 978-3-540-68971-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125709.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 100301s2006 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540689713
-- 978-3-540-68971-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/11960669
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
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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 Data Mining and Bioinformatics
Medium [electronic resource] :
Remainder of title First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers /
Statement of responsibility, etc edited by Mehmet M Dalkilic, Sun Kim, Jiong Yang.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2006.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2006.
300 ## - PHYSICAL DESCRIPTION
Extent VIII, 198 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 Bioinformatics,
International Standard Serial Number 2366-6331 ;
Volume number/sequential designation 4316
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Bioinformatics at Microsoft Research -- A Novel Approach for Effective Learning of Cluster Structures with Biological Data Applications -- Subspace Clustering of Microarray Data Based on Domain Transformation -- Bayesian Hierarchical Models for Serial Analysis of Gene Expression -- Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data -- A Biological Text Retrieval System Based on Background Knowledge and User Feedback -- Automatic Annotation of Protein Functional Class from Sparse and Imbalanced Data Sets -- Bioinformatics Data Source Integration Based on Semantic Relationships Across Species -- An Efficient Storage Model for the SBML Documents Using Object Databases -- Identification of Phenotype-Defining Gene Signatures Using the Gene-Pair Matrix Based Clustering -- TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets -- Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences -- A Gene Structure Prediction Program Using Duration HMM -- An Approximate de Bruijn Graph Approach to Multiple Local Alignment and Motif Discovery in Protein Sequences -- Discovering Consensus Patterns in Biological Databases -- Comparison of Modularization Methods in Application to Different Biological Networks.
520 ## - SUMMARY, ETC.
Summary, etc This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB). The purpose of this workshop was to begin bringing - gether researchersfrom database, data mining, and bioinformatics areas to help leverage respective successes in each to the others. We also hope to expose the richness, complexity, and challenges in this area that involves mining very large complex biological data that will only grow in size and complexity as geno- scale high-throughput techniques become more routine. The problems are s- ?ciently di?erent enough from traditional data mining problems (outside of life sciences) that novel approaches must be taken to data mine in this area. The workshop was held in Seoul, Korea, on September 11, 2006. We received 30 submissions in response to the call for papers. Each subm- sion was assigned to at least three members of the Program Committee. The Program Committee discussed the submission electronically, judging them on their importance, originality, clarity, relevance, and appropriateness to the - pected audience. The Program Committee selected 15 papers for presentation. These papers arein the areasof microarraydata analysis, bioinformaticssystem and text retrieval, application of gene expression data, and sequence analysis. Because of the format of the workshop and the high number of submissions, many good papers could not be included.
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 Data mining.
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 Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science
General subdivision Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical informatics.
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 Data Mining and Knowledge Discovery.
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 Computational and Systems Biology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability and Statistics in Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Health Informatics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dalkilic, Mehmet M.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kim, Sun.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yang, Jiong.
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 9783540689706
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540834311
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Bioinformatics,
-- 2366-6331 ;
Volume number/sequential designation 4316
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/11960669">https://doi.org/10.1007/11960669</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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