國立高雄大學圖資館 |

Language: English

Back

Intelligent data engineering and aut...

(1998 :)

Intelligent data engineering and automated learning - IDEAL 201920th International Conference, Manchester, UK, November 14-16, 2019 : proceedings.Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent data engineering and automated learning - IDEAL 2019edited by Hujun Yin ... [et al.].
Reminder of title:	20th International Conference, Manchester, UK, November 14-16, 2019 : proceedings.
remainder title:	IDEAL 2019
other author:	Yin, Hujun.
corporate name:
Published:	Cham :Springer International Publishing :2019.
Description:	xxii, 554 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-33607-3
ISBN:	9783030336073$q(electronic bk.)

Intelligent data engineering and automated learning - IDEAL 201920th International Conference, Manchester, UK, November 14-16, 2019 : proceedings.Part I /
Intelligent data engineering and automated learning - IDEAL 201920th International Conference, Manchester, UK, November 14-16, 2019 : proceedings.Part I /[electronic resource] :IDEAL 2019edited by Hujun Yin ... [et al.]. - Cham :Springer International Publishing :2019. - xxii, 554 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,118710302-9743 ;. - Lecture notes in computer science ;4891..

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

ISBN: 9783030336073$q(electronic bk.)

Standard No.: 10.1007/978-3-030-33607-3doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / I34 2019

Dewey Class. No.: 006.312

Intelligent data engineering and automated learning - IDEAL 201920th International Conference, Manchester, UK, November 14-16, 2019 : proceedings.Part I /
LDR:02153nmm a2200361 a 4500 001 586890
003 DE-He213
005 20200705130910.0
006 m d
007 cr nn 008maaau
008 210326s2019 sz s 0 eng d
020 $a 9783030336073$q(electronic bk.)
020 $a 9783030336066$q(paper)
024 7 $a 10.1007/978-3-030-33607-3 $2 doi
035 $a 978-3-030-33607-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343 $b I34 2019
072 7 $a UNF $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b I19 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Intelligent data engineering and automated learning - IDEAL 2019 $h [electronic resource] : $b 20th International Conference, Manchester, UK, November 14-16, 2019 : proceedings. $n Part I / $c edited by Hujun Yin ... [et al.].
246 3 $a IDEAL 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxii, 554 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11871
490 1 $a Information systems and applications, incl. internet/web, and HCI
520 $a This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Theory of Computation. $3 274475
650 2 4 $a Computer Applications. $3 273760
650 2 4 $a Computer Systems Organization and Communication Networks. $3 273709
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Yin, Hujun. $3 376689
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Information systems and applications, incl. internet/web, and HCI. $3 822022
856 4 0 $u https://doi.org/10.1007/978-3-030-33607-3
950 $a Computer Science (SpringerNature-11645)