Mining Association Rules from XML Data
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Mining interesting XML-enabled association rules with templates
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
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Compared with traditional association rule mining in the structured world (e.g. Relational Databases), mining from XML data is confronted with more challenges due to the inherent flexibilities of XML in both structure and semantics. The major challenges include 1) a more complicated hierarchical data structure; 2) an ordered data context; and 3) a much bigger size for each data element. In order to make XML-enabled association rule mining truly practical and computationally tractable, we propose a practical model for mining association rules from XML documents and demonstrate the usability and effectiveness of model through a set of experiments on real-life data.