Mining Multimedia and Complex Data (Record no. 188873)

MARC details
000 -LEADER
fixed length control field 05299nam a22007095i 4500
001 - CONTROL NUMBER
control field 978-3-540-39666-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423132534.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 121227s2003 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540396666
-- 978-3-540-39666-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/b12031
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D35
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q350-390
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPF
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM021000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPF
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.73
Edition number 23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003.54
Edition number 23
245 10 - TITLE STATEMENT
Title Mining Multimedia and Complex Data
Medium [electronic resource] :
Remainder of title KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers /
Statement of responsibility, etc edited by Osmar R. Zaiane, Simeon Simoff, Chabane Djeraba.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2003.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2003.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 284 p.
Other physical details online resource.
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-- computer
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-- rdamedia
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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 2797
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Subjective Interpretation of Complex Data: Requirements for Supporting Kansei Mining Process -- Multimedia Data Mining Framework for Raw Video Sequences -- Object Detection for Hierarchical Image Classification -- Mining High-Level User Concepts with Multiple Instance Learning and Relevance Feedback for Content-Based Image Retrieval -- Associative Classifiers for Medical Images -- An Innovative Concept for Image Information Mining -- Multimedia Data Mining Using P-Trees -- Scale Space Exploration for Mining Image Information Content -- Videoviews: A Content Based Video Description Schema and Database Navigation Tool -- The Community of Multimedia Agents -- Multimedia Mining of Collaborative Virtual Workspaces: An Integrative Framework for Extracting and Integrating Collaborative Process Knowledge -- STIFF: A Forecasting Framework for SpatioTemporal Data -- Mining Propositional Knowledge Bases to Discover Multi-level Rules -- Meta-classification: Combining Multimodal Classifiers -- Partition Cardinality Estimation in Image Repositories -- A Framework for Customizable Sports Video Management and Retrieval -- Style Recognition Using Keyword Analysis.
520 ## - SUMMARY, ETC.
Summary, etc 1 WorkshopTheme Digital multimedia di?ers from previous forms of combined media in that the bits that represent text, images, animations, and audio, video and other signals can be treated as data by computer programs. One facet of this diverse data in termsofunderlyingmodelsandformatsisthatitissynchronizedandintegrated, hence it can be treated as integral data records. Such records can be found in a number of areas of human endeavour. Modern medicine generates huge amounts of such digital data. Another - ample is architectural design and the related architecture, engineering and c- struction (AEC) industry. Virtual communities (in the broad sense of this word, which includes any communities mediated by digital technologies) are another example where generated data constitutes an integral data record. Such data may include data about member pro?les, the content generated by the virtual community, and communication data in di?erent formats, including e-mail, chat records, SMS messages, videoconferencing records. Not all multimedia data is so diverse. An example of less diverse data, but data that is larger in terms of the collected amount, is that generated by video surveillance systems, where each integral data record roughly consists of a set of time-stamped images – the video frames. In any case, the collection of such in- gral data records constitutes a multimedia data set. The challenge of extracting meaningful patterns from such data sets has led to the research and devel- ment in the area of multimedia data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
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 Computer networks .
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 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Structures and Information Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer 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 Computer Communication Networks.
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.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaiane, Osmar R.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Simoff, Simeon.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Djeraba, Chabane.
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 9783540203056
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783662201152
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 2797
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/b12031">https://doi.org/10.1007/b12031</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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