Editorial for application-driven knowledge acquisition (Editorial)

No Thumbnail Available
File version
Author(s)
Li, Xue
Wang, Sen
Li, Bohan
Griffith University Author(s)
Wang, Sen
Primary Supervisor
Other Supervisors
Editor(s)
Date
2020
Size
File type(s)
Location
License
Abstract

This special issue has 8 papers focused on innovative Application-Driven Knowledge Acquisition approaches to problems that involve big data, artificial intelligence, and machine learning applications.

Journal Title

World Wide Web volume

Conference Title
Book Title
Edition
Volume

23

Issue

5

Thesis Type
Degree Program
School
Publisher link
DOI
10.1007/s11280-020-00827-6
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Data management and data science

Distributed computing and systems software

Information systems

Science & Technology

Computer Science, Software Engineering

Persistent link to this record
http://hdl.handle.net/10072/398744
Citation

Li, X; Wang, S; Li, B, Editorial for application-driven knowledge acquisition (Editorial), World Wide Web volume, 2020, 23 (5), pp. 2649-2651

Collections
Journal articles