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Advances in Knowledge Discovery and Data Mining : 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II / edited by Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12085
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 12085
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Database management.
- Application software.
- Computers.
- Image processing-Digital techniques.
- Computer vision.
- Artificial Intelligence.
- Database Management System.
- Computer and Information Systems Applications.
- Computing Milieux.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Artificial Intelligence.
- Database Management System.
- Computer and Information Systems Applications.
- Computing Milieux.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (XXXVIII, 924 pages) : 503 illustrations, 242 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-47436-2
- 9783030474362
- Access Restriction:
- Restricted for use by site license.
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