Title :
Mining association rules from XML document using modified index table
Author :
Sasikala, D. ; Premalatha, K.
Author_Institution :
Bannari Amman Inst. of Technol., Sathyamangalam, India
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.
Keywords :
XML; data mining; database management systems; information retrieval; REED dataset; XML databases; XML document; association rule mining; information retrieval; modified index table method; unstructured databases; Association rules; Hardware; Indexes; Software; XML; Association Rule Mining; Confidence; Support; UID; XML data mining;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-2906-4
DOI :
10.1109/ICCCI.2013.6466270