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Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2020 Workshops, DSFN, GII, BDM, LDRC and LBD, Singapore, May 11-14, 2020, Revised Selected Papers / edited by Wei Lu, Kenny Q. Zhu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12237
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 12237
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Application software.
- Computers.
- Data mining.
- Image processing-Digital techniques.
- Computer vision.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computing Milieux.
- Data Mining and Knowledge Discovery.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computing Milieux.
- Data Mining and Knowledge Discovery.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (X, 193 pages) : 11 illustrations, -1 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:
- This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, Singapore, in May 2020. The 17 revised full papers presented were carefully reviewed and selected from a total of 50 submissions. The five workshops were as follows: · First International Workshop on Literature-Based Discovery (LBD 2020) · Workshop on Data Science for Fake News (DSFN 2020) · Learning Data Representation for Clustering (LDRC 2020) · Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM · 2020) · First Pacific Asia Workshop on Game Intelligence and Informatics (GII 2020) .
- Contents:
- Temporal Convolutional Networks.-Transfer Learning
- Deep Generative Networks
- Literature Based Discovery
- Data Management
- Information Extraction
- Internet of Things
- Clustering
- Mixture Model
- EM Algorith
- Manifold Learning
- Recommender Systems
- Machine Learning
- Artificial Intelligence
- Natural Language Processing
- Neural Networks.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-60470-7
- 9783030604707
- Access Restriction:
- Restricted for use by site license.
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