Data preparation for data mining

Zhang, S; Zhang, C; Yang, Q

Data preparation for data mining

Zhang, S Zhang, C

Yang, Q

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Publisher:: Taylor & Francis Inc
Publication Type:: Journal Article
Citation:: Applied Artificial Intelligence, 2003, 17 (5-Jun), pp. 375 - 381
Issue Date:: 2003-01

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Field	Value	Language
dc.contributor.author	Zhang, S	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.contributor.author	Yang, Q	en_US
dc.date.issued	2003-01	en_US
dc.identifier.citation	Applied Artificial Intelligence, 2003, 17 (5-Jun), pp. 375 - 381	en_US
dc.identifier.issn	0883-9514	en_US
dc.identifier.uri	http://hdl.handle.net/10453/4062
dc.description.abstract	Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in how to transform the data into cleaned forms which can be used for high-profit purposes. This goal generates an urgent need for data analysis aimed at cleaning the raw data. In this paper, we first show the importance of data preparation in data analysis, then introduce some research achievements in the area of data preparation. Finally, we suggest some future directions of research and development	en_US
dc.publisher	Taylor & Francis Inc	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0343109
dc.relation.ispartof	Applied Artificial Intelligence	en_US
dc.relation.isbasedon	10.1080/713827180	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Data preparation for data mining	en_US
dc.type	Journal Article
utslib.citation.volume	5-Jun	en_US
utslib.citation.volume	17	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	5-Jun	en_US
pubs.volume	17	en_US

Abstract:

Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in how to transform the data into cleaned forms which can be used for high-profit purposes. This goal generates an urgent need for data analysis aimed at cleaning the raw data. In this paper, we first show the importance of data preparation in data analysis, then introduce some research achievements in the area of data preparation. Finally, we suggest some future directions of research and development

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http://hdl.handle.net/10453/4062