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

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

Author: 
Tanca, Letizia
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2011
Record type: 
Responsibility: 
Mazuran, Mirjana, jt. author
Quintarelli, Elisa, jt. author
Editor: 
Tagarelli, Andrea
Source: 
XML Data Mining
Subject: 
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.

Series: 
Advances in Data Mining and Database Management

CITATION: Tanca, Letizia. A Framework for Mining and Querying Summarized XML Data through Tree-Based Association Rules edited by Tagarelli, Andrea . Hershey, PA : IGI Global , 2011. XML Data Mining - Available at: https://library.au.int/framework-mining-and-querying-summarized-xml-data-through-tree-based-association-rules