Web and Big Data〈1st ed. 2021〉 : 5th International Joint Conference, APWeb-WAIM 2021, Guangzhou, China, August 23–25, 2021, Proceedings, Part II

著者名：U, Leong Hou (EDT)/Spaniol, Marc (EDT)/Sakurai, Yasushi (EDT)/Chen, Junying (EDT)

Springer（2021/08/18発売）

• 言語：ENG
• ISBN：9783030858988
• eISBN：9783030858995

Description

This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021.

The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.