The Role of Data Pre-Processing in Intelligent Data Analysis

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TypeArticle
ConferenceProceedings of the International Symposium on Intelligent Data Analysis (IDA-95), August 17-19, 1995., Baden-Baden, Germany
Subjectdata analysis; data pre-processing; induction; machine learning applications
AbstractThis paper first provides a brief overview of some frequently encountered real world problems in data analysis. These are problems that have to be solved through data pre-processing so that the nature of the data is better understood and the data analysis is performed more accurately and efficiently. The architecture of a data analysis tool for which a data pre-processing mechanism has been developed and tested is also explained. An example is then given of the use of this data pre-processing mechanism for two purposes: (i) to filter out a set of semiconductor data, and (ii) to find out more about the nature of these data and make the induction process more efficient.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number38373
NPARC number5752634
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Record identifier59941a1f-5d60-4ed7-996d-f7fee23ad818
Record created2008-12-02
Record modified2016-05-09
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