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 /

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 / [electronic resource] : edited by Wei Lu, Kenny Q. Zhu. - 1st ed. 2020. - X, 193 p. 11 illus., -1 illus. in color. online resource. - Lecture Notes in Artificial Intelligence, 12237 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 12237 .

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.

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 & Informatics (GII 2020) .

9783030604707

10.1007/978-3-030-60470-7 doi


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 and Information Systems Applications.
Computer Imaging, Vision, Pattern Recognition and Graphics.

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