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Information retrieval methods for multidisciplinary applications
Zhongyu Lu (Editor)
Department of Computer Science
School of Computing and Engineering
Centre for Planning, Autonomy and Representation of Knowledge
Research output
:
Book/Report
›
Book
›
peer-review
4
Citations (Scopus)
Overview
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Business & Economics
Information Retrieval
100%
Data Mining
38%
Information Gathering
30%
Automation
29%
An Enterprise
22%
Engineers
21%
Business Process
20%
World Wide Web
17%
Industry
9%
Arts & Humanities
Information Retrieval
100%
Data Mining
38%
Automation
23%
World Wide Web
22%
Engineers
21%
Enterprise
21%
Industry
9%
Engineering & Materials Science
Information retrieval
75%
Industry
33%
Data mining
21%
Automation
19%
Engineers
18%
Internet
17%
Social Sciences
information retrieval
84%
automation
26%
engineer
20%
Internet
16%
industry
15%