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  • Tan, Hark; Dillon, Tharam; Feng, Ling; Chang, Elizabeth; Hadzic, Fedja (IEEE, 2005)
    An XML enabled framework for the representation of association rules in databases was first presented in [4]. In Frequent Structure Mining (FSM), one of the popular approaches is to use graph matching that use data structures ...
  • Feng, Ling; Dillon, Tharam; Weigand, Hans; Chang, Elizabeth (Springer-Verlag Berlin Heidelberg, 2003)
    With the sheer amount of data stored, presented and exchanged using XML nowadays, the ability to extract knowledge from XML data sources becomes increasingly important and desirable. This paper aims to integrate the newly ...
  • Rajagopalapillai, Rajugan; Chang, Elizabeth; Dillon, Tharam; Feng, Ling (Springer-Verlag Berlin Heidelberg, 2003)
    The exponential growth and the nature of Internet and web-based applications made eXtensible Markup Language (XML) as the de-facto standard for data exchange and data dissemination. Now it is gaining momentum in replacing ...
  • Papapetrou, Odysseus; Chen, Ling (Springer, 2011)
    XML clustering finds many applications, ranging from storage to query processing. However, existing clustering algorithms focus on static XML collections, whereas modern information systems frequently deal with streaming ...
  • Rajagopalapillai, Rajugan; Gardner, William; Chang, Elizabeth; Dillon, Tharam (Springer Vertag, 2005)