Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Machine learning and knowledge disco...
~
ECML PKDD (Conference) ((2023 :)
Linked to FindBook
Google Book
Amazon
博客來
Machine learning and knowledge discovery in databases = applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.. Part VI /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning and knowledge discovery in databases/ edited by Gianmarco De Francisci Morales ... [et al.].
Reminder of title:
applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.
remainder title:
ECML PKDD 2023
other author:
De Francisci Morales, Gianmarco.
corporate name:
ECML PKDD (Conference)
Published:
Cham :Springer Nature Switzerland : : 2023.,
Description:
lv, 703 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Applied Machine Learning -- Computational Social Sciences -- Finance -- Hardware and Systems -- Healthcare & Bioinformatics -- Human-Computer Interaction -- Recommendation and Information Retrieval.
Contained By:
Springer Nature eBook
Subject:
Machine learning - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-43427-3
ISBN:
9783031434273
Machine learning and knowledge discovery in databases = applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.. Part VI /
Machine learning and knowledge discovery in databases
applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part VI /[electronic resource] :ECML PKDD 2023edited by Gianmarco De Francisci Morales ... [et al.]. - Cham :Springer Nature Switzerland :2023. - lv, 703 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,141740302-9743 ;. - Lecture notes in computer science ;14174..
Applied Machine Learning -- Computational Social Sciences -- Finance -- Hardware and Systems -- Healthcare & Bioinformatics -- Human-Computer Interaction -- Recommendation and Information Retrieval.
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment -- Transportation & Urban Planning -- Demo.
ISBN: 9783031434273
Standard No.: 10.1007/978-3-031-43427-3doiSubjects--Topical Terms:
576368
Machine learning
--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning and knowledge discovery in databases = applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.. Part VI /
LDR
:02828nmm a2200361 a 4500
001
2334508
003
DE-He213
005
20230918060310.0
006
m d
007
cr nn 008maaau
008
240402s2023 sz s 0 eng d
020
$a
9783031434273
$q
(electronic bk.)
020
$a
9783031434266
$q
(paper)
024
7
$a
10.1007/978-3-031-43427-3
$2
doi
035
$a
978-3-031-43427-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.E19 2023
111
2
$a
ECML PKDD (Conference)
$d
(2023 :
$c
Turin, Italy)
$3
3666145
245
1 0
$a
Machine learning and knowledge discovery in databases
$h
[electronic resource] :
$b
applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.
$n
Part VI /
$c
edited by Gianmarco De Francisci Morales ... [et al.].
246
3
$a
ECML PKDD 2023
260
$a
Cham :
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
$c
2023.
300
$a
lv, 703 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
14174
490
1
$a
Lecture notes in artificial intelligence
505
0
$a
Applied Machine Learning -- Computational Social Sciences -- Finance -- Hardware and Systems -- Healthcare & Bioinformatics -- Human-Computer Interaction -- Recommendation and Information Retrieval.
520
$a
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment -- Transportation & Urban Planning -- Demo.
650
0
$a
Machine learning
$x
Congresses.
$3
576368
650
0
$a
Data mining
$v
Congresses.
$3
551626
650
0
$a
Databases
$v
Congresses.
$3
893097
650
1 4
$a
Artificial Intelligence.
$3
769149
650
2 4
$a
Computer Engineering and Networks.
$3
3538504
650
2 4
$a
Computing Milieux.
$3
893243
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
890871
650
2 4
$a
Software Engineering.
$3
890874
700
1
$a
De Francisci Morales, Gianmarco.
$3
3666150
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
14174.
$3
3666151
830
0
$a
Lecture notes in artificial intelligence.
$3
3382562
856
4 0
$u
https://doi.org/10.1007/978-3-031-43427-3
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9460713
電子資源
11.線上閱覽_V
電子書
EB Q325.5
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login