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Unformatted text preview: ics has its grounds in mathematics and deals with the science and practice for the analysis of empirical data. It is based on statistical theory which is a branch of applied mathematics. Within statistical theory, randomness and uncertainty are modelled by probability theory. Today many methods of statistics are used in the field of KDD. Good overviews are given in Hastie et al. (2001); Berthold & Hand (1999); Maitra (2002). 1.3 Definition of Text Mining Text mining or knowledge discovery from text (KDT) — for the first time mentioned in Feldman & Dagan (1995) — deals with the machine supported analysis of text. It uses techniques from information retrieval, information extraction as well as natural language processing (NLP) and connects them with the algorithms and methods of KDD, data mining, machine learning and statistics. Thus, one selects a similar procedure as with the KDD process, whereby not data in general, but text documents are in focus of the analysis. From this, new questions for the used data mining m...
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This note was uploaded on 06/19/2011 for the course IT 2258 taught by Professor Aymenali during the Summer '11 term at Abu Dhabi University.

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