Advances in knowledge discovery and data mining : 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings. Part II / Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan (eds.).
PAKDD (Conference) (24th : 2020 : Singapore); Lauw, Hady W., editor.; Wong, Raymond Chi-Wing, editor.; Ntoulas, Alexandros, editor.; Lim, Ee-Peng, editor.; Ng, See-Kiong, editor.; Pan, Sinno Jialin, 1980- editor.
2020
QA76.9.D343
Available Online

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Title Advances in knowledge discovery and data mining : 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings. Part II / Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan (eds.).
Meeting Name PAKDD (Conference) (24th : 2020 : Singapore)
ISBN 9783030474362 (electronic book)
3030474364 (electronic book)
9783030474355
DOI https://doi.org/10.1007/978-3-030-47436-2
https://doi.org/10.1007/978-3-030-47
Published Cham : Springer, 2020.
Language English
Description 1 online resource (xxxviii, 924 pages) : illustrations.
Item Number 10.1007/978-3-030-47436-2 doi
10.1007/978-3-030-47
Call Number QA76.9.D343
Dewey Decimal Classification 006.3/12
Summary The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 19, 2020).
Added Author Lauw, Hady W., editor.
Wong, Raymond Chi-Wing, editor.
Ntoulas, Alexandros, editor.
Lim, Ee-Peng, editor.
Ng, See-Kiong, editor.
Pan, Sinno Jialin, 1980- editor.
Series Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 12085.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form Print version: 9783030474379
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Mining Sequential Data
Mining Imbalanced Data
Association
Privacy and Security
Supervised Learning
Novel Algorithms
Mining Multi-Media/Multi-Dimensional Data
Application
Mining Graph and Network Data
Anomaly Detection and Analytics
Mining Spatial, Temporal, Unstructured and Semi-Structured Data
Sentiment Analysis
Statistical/Graphical Model
Multi-Source/Distributed/Parallel/Cloud Computing.

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