Statistical Methods for Performance Evaluation of WEB Document Classification

Abstract

Abstract:The principal aim of this paper is to make a review of main statistical methods for classifying documents that could be easily adapted in the context of Web document retrieval. After presenting the most popular methods of classification we will also define the most accurate indicators for assessment of classifiers performance. Thus we will refer to the recall, precision, fscore, sensitivity and specificity. We will also describe how these indicators can be calculated in the context of Web documents.

Models XP for Rewriting XPath Queries

“…Data processing as a business object or XML Web services, used within data exchange between applications, requires XML data format [17]. Relational systems convert XML data into a relational format which may be effectively memorized and queried as a set of relations.…”