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Chapter 11

Frequent Pattern Discovery and Association Rule Mining of XML Data

Qin Ding

East Carolina University, USA

Gnanasekaran Sundarraj

Pennsylvania State University, USA

ABSTRACT

Finding frequent patterns and association rules in large data has become a very important task in data mining. Various algorithms have been proposed to solve such problems, but most algorithms are only applicable to relational data. With the increasing use and popularity of XML representation, it is of importance yet challenging to find solutions to frequent pattern discovery and association rule mining of XML data. The challenge comes from the complexity of the structure in XML data. In this chapter, we provide an overview of the state-of-the-art research in content-based ...

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