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Advances in Knowledge Discovery and Data Mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II / edited by João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 13281
- Lecture Notes in Artificial Intelligence ; 13281
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Social sciences-Data processing.
- Computer science-Mathematics.
- Mathematical statistics.
- Computer vision.
- Pattern recognition systems.
- Application software.
- Artificial Intelligence.
- Computer Application in Social and Behavioral Sciences.
- Probability and Statistics in Computer Science.
- Computer Vision.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- Local Subjects:
- Artificial Intelligence.
- Computer Application in Social and Behavioral Sciences.
- Probability and Statistics in Computer Science.
- Computer Vision.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XVI, 558 pages) : 164 illustrations, 151 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.
- Contents:
- Data Science
- Big Data
- Data mining. Model selection,
- Biological data
- IoT data,
- Deep learning. Meta-learning
- Security
- Privacy.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-05936-0
- 9783031059360
- Access Restriction:
- Restricted for use by site license.
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