Mining association rules from XML document using modified index table

Abstract

In recent years the amount of unstructured databases increased drastically. In lieu of continuous increasing of XML databases, it is mandatory to propose a method to retrieve useful information. Association Rule Mining places a major role to retrieve this useful information. XML data bases have more challenges because of its inherent flexibility in structure and semantics. Many methods were suggested to mine association rules from these databases. In this paper a modified index table method is proposed to mine the interesting relationship among the XML documents. To accomplish the process more practical and computationally good, a modified index table is introduced. To show the effectiveness of this method a set of experiments are conducted on REED dataset and the results are discussed.

Investigation of Mining Association Rules on XML Document

“…Authors have proposed index table to extract the transaction and item information with node encoding technique which efficiently provides results camped to the method proposed in a tool for removing association rule from XML. [10] have proposed a methodology to modify the index table using UID for each node. This UID is considered to build index table, unlike the previous methods.…”