Data mining in metadata repositories

Dragos Arotaritei

doi:10.1117/12.460213

12 March 2002 Data mining in metadata repositories

Dragos Arotaritei

Proceedings Volume 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV; (2002) https://doi.org/10.1117/12.460213
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

Metadata are data about data and can refer to a large type of information categories: journals, digital libraries, structured and semistructured documents, etc. Our approach refers mainly to discovery of the association rules problem in metadata repository associated with semistructured documents. Extensions to heterogeneous documents and possible application to unstructured documents are taken into account also. The metadata stored in metadata repositories are processed by translation in a table, similar to the well known basket from association rule discovery problem. A slightly modified Apriori and AprioriAll algorithms are used to discover association rules among values of metadata attributes. Experimental results over a selected collection of metadata stored in an repository is presented.

Citation Download Citation

Dragos Arotaritei "Data mining in metadata repositories", Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); https://doi.org/10.1117/12.460213

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