Data Pre-Processing and Intelligent Data Analysis

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TypeArticle
Journal titleInternational Journal on Intelligent Data Analysis
Volume1
Issue1
Subjectdata pre-processing; semiconductor manufacturing; intelligent data analysis
AbstractThis paper first provides an overview of data pre-processing focusing on problems of the real world data. These are primarily problems that have to be carefully understood and solved before any data analysis process starts. The paper discusses in detail, two main reasons for performing data pre-processing: (i) problems with the data and (ii) preparation for data analysis. The paper continues with details of data pre-processing techniques to achieve each of the above mentioned objectives. A total of 14 techniques are discussed. Two examples of data pre-processing applications from two of the most data rich domains are given at the end. The applications are related to semiconductor manufacturing and aerospace domains where large amounts of data are available and they are fairly reliable. Future directions and some challenges are discussed at the end.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number40166
NPARC number5765066
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Record identifierc2ce0252-1e9c-48ae-b2c7-a7aabdccd3ff
Record created2009-03-29
Record modified2016-05-09
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