1 CSCR 004 : First Year Report

نویسندگان

  • Yanbo Wang
  • Paul Leng
  • Leszek Gasieniec
چکیده

The aim of my PhD research is focused on Text Mining (TM), one major school in Knowledge Discovery in Data (KDD), and in particular the classification / categorization of documents utilizing novel algorithms for the identification of hidden patterns, rules, regularities and trends within these documents. Two significant techniques of Data Mining (DM), another well-known KDD school, are involved to support this research, especially when dealing with very large document-bases: Association Rule Mining (ARM) and Classification Rule Mining (CRM). In order to employ DM techniques in Text Classification (TC), applying a combination of various Natural Language Processing (NLP) techniques in the stage of Text Pre-processing (TPP) is considered necessary. In this report, I would like to clearly state the area of my PhD research, describe in details about the work that I have completed so far, and the items of work that I am going to pursue during the forthcoming year. This report will also include a timetabled plan for completion of my PhD thesis, and a list of my academic activities during the first year of my PhD studies.

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تاریخ انتشار 2004