Data science: Nature and pitfalls

Cao, L

Data science: Nature and pitfalls

Cao, L

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Publisher:: IEEE COMPUTER SOC
Publication Type:: Journal Article
Citation:: IEEE Intelligent Systems, 2016, 31, (5), pp. 66-75
Issue Date:: 2016-09-01

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429
dc.date.accessioned	2022-01-19T09:58:02Z
dc.date.available	2022-01-19T09:58:02Z
dc.date.issued	2016-09-01
dc.identifier.citation	IEEE Intelligent Systems, 2016, 31, (5), pp. 66-75
dc.identifier.issn	1541-1672
dc.identifier.issn	1941-1294
dc.identifier.uri	http://hdl.handle.net/10453/153372
dc.description.abstract	Data science is creating exciting trends as well as significant controversy. A critical matter for the healthy development of data science in its early stages is to deeply understand the nature of data and data science and discuss the various pitfalls. These important issues motivate the discussions in this article.
dc.language	English
dc.publisher	IEEE COMPUTER SOC
dc.relation	http://purl.org/au-research/grants/arc/DP130102691
dc.relation.ispartof	IEEE Intelligent Systems
dc.relation.isbasedon	10.1109/MIS.2016.86
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0806 Information Systems, 0906 Electrical and Electronic Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Data science: Nature and pitfalls
dc.type	Journal Article
utslib.citation.volume	31
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	1702 Cognitive Sciences
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-19T09:58:01Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	31
utslib.citation.issue	5

Abstract:

Data science is creating exciting trends as well as significant controversy. A critical matter for the healthy development of data science in its early stages is to deeply understand the nature of data and data science and discuss the various pitfalls. These important issues motivate the discussions in this article.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/153372