The Role of Data Pre-Processing in Intelligent Data Analysis

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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; prétraitement des données; induction; applications de l'apprentissage machine
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
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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