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2003
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XRules: an effective structural classifier for XML data

9 years 10 months ago
XRules: an effective structural classifier for XML data
XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining domain, but current classification methods for XML documents use IR-based methods in which each document is treated as a bag of words. Such techniques ignore a significant amount of information hidden inside the documents. In this paper we discuss the problem of rule based classification of XML data by using frequent discriminatory substructures within XML documents. Such a technique is more capable of finding the classification characteristics of documents. In addition, the technique can also be extended to cost sensitive classification. We show the effectiveness of the method with respect to other classifiers. We note that the methodology discussed in this paper is applicable to any kind of semi-structured data. Categories and Subject Descriptors H.2.8 [Database Management]: Data Mining Keywords XML/Semi-structured...
Mohammed Javeed Zaki, Charu C. Aggarwal
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2003
Where KDD
Authors Mohammed Javeed Zaki, Charu C. Aggarwal
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