Web Information Systems Engineering - WISE 2019 20th International Conference, Hong Kong, China, January 19-22, 2020, Proceedings / [electronic resource] :
edited by Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang.
- 1st ed. 2019.
- XVII, 812 p. 298 illus., 183 illus. in color. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 11881 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 11881 .
This book constitutes the proceedings of the 20th International Conference on Web Information Systems Engineering, WISE 2019, held in Hong Kong, China, in November 2019. Due to the problems/protests in Hong Kong, WISE 2019 was postponed from November 26-30, 2019 until January 19-22, 2020. The 50 full papers presented were carefully reviewed and selected from 211 submissions. The papers are organized in the following topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity linkage and disambiguation; graph learning; knowledge graphs; graph mining; and text mining.
9783030342234
10.1007/978-3-030-34223-4 doi
Application software.
Information storage and retrieval systems.
Data mining.
Artificial intelligence.
Computer science.
Social sciences--Data processing.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Theory of Computation.
Computer Application in Social and Behavioral Sciences.
QA76.76.A65
005.3
This book constitutes the proceedings of the 20th International Conference on Web Information Systems Engineering, WISE 2019, held in Hong Kong, China, in November 2019. Due to the problems/protests in Hong Kong, WISE 2019 was postponed from November 26-30, 2019 until January 19-22, 2020. The 50 full papers presented were carefully reviewed and selected from 211 submissions. The papers are organized in the following topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity linkage and disambiguation; graph learning; knowledge graphs; graph mining; and text mining.
9783030342234
10.1007/978-3-030-34223-4 doi
Application software.
Information storage and retrieval systems.
Data mining.
Artificial intelligence.
Computer science.
Social sciences--Data processing.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Theory of Computation.
Computer Application in Social and Behavioral Sciences.
QA76.76.A65
005.3