An empirical study of domain knowledge and its benefits to substructure discovery

Journal article

S DJOKO, D. J COOK and L. B HOLDER

IEEE transactions on knowledge and data engineering, Vol.9(4), pp.575-586

1997

Handle:

https://hdl.handle.net/2376/111399

Abstract

Learning and adaptive systems

Theoretical computing

Memory organisation. Data processing

Information systems. Data bases

Exact sciences and technology

Applied sciences

Software

Artificial intelligence

Computer science; control theory; systems

Information retrieval. Graph

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Title: An empirical study of domain knowledge and its benefits to substructure discovery
Creators: S DJOKO - Department of Computer Science and Engineering, University of Texas at Arlington, Box 19015, Arlington, TX 76019, United States
D. J COOK - Department of Computer Science and Engineering, University of Texas at Arlington, Box 19015, Arlington, TX 76019, United States
L. B HOLDER - Department of Computer Science and Engineering, University of Texas at Arlington, Box 19015, Arlington, TX 76019, United States
Publication Details: IEEE transactions on knowledge and data engineering, Vol.9(4), pp.575-586
Academic Unit: Electrical Engineering and Computer Science, School of
Publisher: IEEE Computer Society; New York, NY
Identifiers: 99900547585301842
Language: English
Resource Type: Journal article