New Frontiers in Mining Complex Patterns (Record no. 57567)

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fixed length control field 02887nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-39315-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112224.0
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fixed length control field 160517s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319393155
-- 978-3-319-39315-5
082 04 - CLASSIFICATION NUMBER
Call Number 006.312
245 10 - TITLE STATEMENT
Title New Frontiers in Mining Complex Patterns
Sub Title 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers /
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 239 p. 57 illus.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2015, held in conjunction with ECML-PKDD 2015 in Porto, Portugal, in September 2015. The 15 revised full papers presented together with one invited talk were carefully reviewed and selected from 19 submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: data stream mining, classification, mining complex data, and sequences.
700 1# - AUTHOR 2
Author 2 Ceci, Michelangelo.
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Author 2 Loglisci, Corrado.
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Author 2 Manco, Giuseppe.
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Author 2 Masciari, Elio.
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Author 2 Ras, Zbigniew W.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-39315-5
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Koha item type eBooks
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- computer
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-- online resource
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Database management.
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-- Data mining.
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-- Information storage and retrieval.
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-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
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-- Database Management.
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-- Information Storage and Retrieval.
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-- Artificial Intelligence (incl. Robotics).
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