A statistical interestingness measures for XML based association rules

• Main Authors: Mohd Shaharanee, Izwan Nizal, Hadzic, Fedja, Dillon, Tharam S.
• Other Authors: Zhang, B.-T.
• Format: Book Section
• Language: English
• Published: Springer-Verlag Berlin Heidelberg 2010
• Subjects: Q Science (General)
• Online Access: http://repo.uum.edu.my/1514/1/En._Izwan_Nizal_Mohd_Shaharanee%5B1%5D.pdf; http://repo.uum.edu.my/1514/; http://www.springerlink.com/content/978-3-642-15245-0#section=757498&page=1&locus=48
• Institution: Universiti Utara Malaysia

Recently mining frequent substructures from XML data has gained a considerable amount of interest. Different methods have been proposed and examined for mining frequent patterns from XML documents efficiently and effectively. While many frequent XML patterns generated are useful and interesting, it...