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» Discovering Associations in XML Data
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DASFAA
2005
IEEE
153views Database» more  DASFAA 2005»
14 years 2 months ago
FASST Mining: Discovering Frequently Changing Semantic Structure from Versions of Unordered XML Documents
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
Qiankun Zhao, Sourav S. Bhowmick
WWW
2006
ACM
14 years 9 months ago
Template guided association rule mining from XML documents
Compared with traditional association rule mining in the structured world (e.g. Relational Databases), mining from XML data is confronted with more challenges due to the inherent ...
Rahman Ali Mohammadzadeh, Sadegh Soltan, Masoud Ra...
WWW
2001
ACM
14 years 9 months ago
Algorithms and programming models for efficient representation of XML for Internet applications
XML is poised to take the World-Wide-Web to the next level of innovation. XML data, large or small, with or without associated schema, will be exchanged between increasing number ...
Neel Sundaresan, Reshad Moussa
EDBT
2009
ACM
85views Database» more  EDBT 2009»
14 years 1 months ago
Expressive, yet tractable XML keys
Constraints are important for a variety of XML recommendations and applications. Consequently, there are numerous opportunities for advancing the treatment of XML semantics. In pa...
Sven Hartmann, Sebastian Link
DAWAK
2004
Springer
14 years 1 months ago
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
Abstract. Due to the dynamic nature of online information, XML documents typically evolve over time. The change of the data values or structures of an XML document may exhibit some...
Ling Chen 0002, Sourav S. Bhowmick, Liang-Tien Chi...