document: 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 .
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