Web Information Systems Engineering ¿ WISE 2019 : 20th International Conference, Hong Kong, China, January 19¿22, 2020, Proceedings

Reynold Cheng

ISBN 10: 3030342220 / ISBN 13: 9783030342227

Published by Springer International Publishing, Springer International Publishing, 2019

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes theproceedings of the 20th International Conference on Web InformationSystems 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 presentedwere 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.

Seller Inventory # 9783030342227

Bibliographic Details

• Title: Web Information Systems Engineering ¿ WISE 2019 : 20th International Conference, Hong Kong, China, January 19¿22, 2020, Proceedings
• Publisher: Springer International Publishing, Springer International Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 3030342220
• ISBN 13: 9783030342227
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.