國立虎尾科技大學 |

Advances in Knowledge Discovery and Management = Volume 7 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in Knowledge Discovery and Management/ edited by Bruno Pinaud, Fabrice Guillet, Bruno Cremilleux, Cyril de Runz.
Reminder of title:	Volume 7 /
other author:	Pinaud, Bruno.
Description:	XIII, 147 p. 46 illus., 35 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-65406-5
ISBN:	9783319654065

Advances in Knowledge Discovery and Management = Volume 7 /
Advances in Knowledge Discovery and ManagementVolume 7 /[electronic resource] :edited by Bruno Pinaud, Fabrice Guillet, Bruno Cremilleux, Cyril de Runz. - 1st ed. 2018. - XIII, 147 p. 46 illus., 35 illus. in color.online resource. - Studies in Computational Intelligence,7321860-949X ;. - Studies in Computational Intelligence,564.

A Combined Approach for Ontology Enrichment from Textual and Open Data -- C-SPARQL Extension for Sampling RDF Graphs Streams -- Efﬁciency Analysis of ASP Encodings for Sequential Pattern Mining Tasks.

This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of “Knowledge Discovery and Management” (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC’2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.

ISBN: 9783319654065

Standard No.: 10.1007/978-3-319-65406-5doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Knowledge Discovery and Management = Volume 7 /
LDR:02617nam a22004095i 4500 001 994383
003 DE-He213
005 20200707021010.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319654065 $9 978-3-319-65406-5
024 7 $a 10.1007/978-3-319-65406-5 $2 doi
035 $a 978-3-319-65406-5
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Advances in Knowledge Discovery and Management $h [electronic resource] : $b Volume 7 / $c edited by Bruno Pinaud, Fabrice Guillet, Bruno Cremilleux, Cyril de Runz.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XIII, 147 p. 46 illus., 35 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-949X ; $v 732
505 0 $a A Combined Approach for Ontology Enrichment from Textual and Open Data -- C-SPARQL Extension for Sampling RDF Graphs Streams -- Efﬁciency Analysis of ASP Encodings for Sequential Pattern Mining Tasks.
520 $a This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of “Knowledge Discovery and Management” (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC’2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Data mining. $3 528622
650 0 $a Knowledge management. $3 558406
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Knowledge Management. $3 679530
700 1 $a Pinaud, Bruno. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1228338
700 1 $a Guillet, Fabrice. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 890703
700 1 $a Cremilleux, Bruno. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1285702
700 1 $a de Runz, Cyril. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1285703
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319654058
776 0 8 $i Printed edition: $z 9783319654072
776 0 8 $i Printed edition: $z 9783319880204
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-319-65406-5
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)