Graph-based data mining

D.J Cook; L.B Holder

doi:10.1109/5254.850825

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Journal article

Graph-based data mining

D.J Cook and L.B Holder

IEEE intelligent systems & their applications, Vol.15(2), pp.32-41

03/2000

DOI: https://doi.org/10.1109/5254.850825

Handle:

https://hdl.handle.net/2376/101191

Abstract

Scalability

Impedance matching

Data structures

Spatial databases

Data mining

Acceleration

Intelligent systems

Assembly

Testing

Using databases represented as graphs, the Subdue system performs two key data mining techniques: unsupervised pattern discovery and supervised concept learning from examples. Applications to large structural databases demonstrate Subdue's scalability and effectiveness.

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Title: Graph-based data mining
Creators: D.J Cook - Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA
L.B Holder
Publication Details: IEEE intelligent systems & their applications, Vol.15(2), pp.32-41
Academic Unit: Electrical Engineering and Computer Science, School of
Identifiers: 99900546571501842
Language: English
Resource Type: Journal article

Graph-based data mining

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Abstract

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Details