國立高雄大學圖資館 |

Language: English

Back

Big data analytics and knowledge discovery25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics and knowledge discoveryedited by Robert Wrembel ... [et al.].
Reminder of title:	25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023 : proceedings /
remainder title:	DaWaK 2023
other author:	Wrembel, Robert.
corporate name:
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xvi, 400 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-39831-5
ISBN:	9783031398315$q(electronic bk.)

Big data analytics and knowledge discovery25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023 : proceedings /
Big data analytics and knowledge discovery25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023 : proceedings /[electronic resource] :DaWaK 2023edited by Robert Wrembel ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xvi, 400 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,141480302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2023, which took place in Penang, Malaysia, during August 29-30, 2023. The 18 full papers presented together with 19 short papers were carefully reviewed and selected from a total of 83 submissions. They were organized in topical sections as follows: Data quality; advanced analytics and pattern discovery; machine learning; deep learning; and data management.

ISBN: 9783031398315$q(electronic bk.)

Standard No.: 10.1007/978-3-031-39831-5doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.D3 / D38 2023

Dewey Class. No.: 005.74

Big data analytics and knowledge discovery25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023 : proceedings /
LDR:01659nmm a2200337 a 4500 001 647471
003 DE-He213
005 20230809095251.0
006 m d
007 cr nn 008maaau
008 240116s2023 sz s 0 eng d
020 $a 9783031398315$q(electronic bk.)
020 $a 9783031398308$q(paper)
024 7 $a 10.1007/978-3-031-39831-5 $2 doi
035 $a 978-3-031-39831-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3 $b D38 2023
072 7 $a UN $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b D269 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Big data analytics and knowledge discovery $h [electronic resource] : $b 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023 : proceedings / $c edited by Robert Wrembel ... [et al.].
246 3 $a DaWaK 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xvi, 400 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 14148
520 $a This book constitutes the proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2023, which took place in Penang, Malaysia, during August 29-30, 2023. The 18 full papers presented together with 19 short papers were carefully reviewed and selected from a total of 83 submissions. They were organized in topical sections as follows: Data quality; advanced analytics and pattern discovery; machine learning; deep learning; and data management.
650 0 $a Big data $v Congresses. $3 592065
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Computer and Information Systems Applications. $3 913125
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Wrembel, Robert. $3 292273
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
856 4 0 $u https://doi.org/10.1007/978-3-031-39831-5
950 $a Computer Science (SpringerNature-11645)

based on 0 review(s)

Multimedia

Multimedia file
https://doi.org/10.1007/978-3-031-39831-5

Reviews

Add a review and share your thoughts with other readers

Export

pickup library