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  • Tan, HH; Dillon, TS; Feng, L; Chang, E; Hadzic, F (IEEE, 2005-01)
    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 ...
  • Li, J; Wang, J; Huang, M (ACM International Conference Proceeding Series ACM Press 2009, 2009-01)
    We present XKMis, a system for keyword search in xml documents. Unlike previous work, our method is not based on the lowest common ancestor (LCA) or its variant, rather we divide the nodes into meaningful and self-containing ...
  • Rajagopalapillai, R; Chang, E; Dillon, TS; Feng, L (Springer-Verlag Berlin Heidelberg, 2003-01)
    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, O; Chen, L (Springer, 2011-01)
    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, R; Gardner, W; Chang, E; Dillon, TS (Springer Vertag, 2005-01)
  • Zhang, G; Dillon, TS; Cai, K-Y; Ma, J; Lu, J (2010)
    A complex fuzzy relation is defined as a fuzzy relation whose membership function takes values in the unit circle on a complex plane. This paper first investigates various operation properties of a complex fuzzy relation. ...