In this work we describe the TreeRuler tool, which makes it possible for inexperienced users to access huge XML (or relational) datasets. TreeRuler encompasses two main features: (1) it mines all the frequent association rules from input documents without any a-priori specification of the desired results, and (2) it provides quick, summarized, thus often approximate answers to user’s queries, by using the previously mined knowledge. TreeRuler has been developed in the scenario of the Odyssey EU project dealing with information about crimes, both for the relational and XML data model. In this chapter we mainly focus on the objectives, strategies, and difficulties encountered in the XML context.

A Framework for Mining and Querying Summarized XML Data through Tree-Based Association Rules

MAZURAN, MIRJANA;QUINTARELLI, ELISA;RAUSEO, ANGELO;TANCA, LETIZIA
2012

Abstract

In this work we describe the TreeRuler tool, which makes it possible for inexperienced users to access huge XML (or relational) datasets. TreeRuler encompasses two main features: (1) it mines all the frequent association rules from input documents without any a-priori specification of the desired results, and (2) it provides quick, summarized, thus often approximate answers to user’s queries, by using the previously mined knowledge. TreeRuler has been developed in the scenario of the Odyssey EU project dealing with information about crimes, both for the relational and XML data model. In this chapter we mainly focus on the objectives, strategies, and difficulties encountered in the XML context.
XML Data Mining: Models, Methods, and Applications
9781613503560
Data mining; Intensional Query Answers; Summarization
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/631189
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