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dc.contributor.authorEarnshaw, Rae A.*
dc.contributor.authorLei, Ci*
dc.contributor.authorLi, Jing*
dc.contributor.authorMugassabi, Souad*
dc.contributor.authorVourdas, Apostolos*
dc.date.accessioned2015-01-27T10:35:23Z
dc.date.available2015-01-27T10:35:23Z
dc.date.issued2012
dc.identifier.citationEarnshaw RA, Lei C, Li J, Mugassab S and Vourdas A (2012) Large-scale data analysis using the Wigner function. Physica A. 391(7): 2401-2407.
dc.identifier.urihttp://hdl.handle.net/10454/7064
dc.descriptionNo
dc.description.abstractLarge-scale data are analysed using the Wigner function. It is shown that the ‘frequency variable’ provides important information, which is lost with other techniques. The method is applied to ‘sentiment analysis’ in data from social networks and also to financial data.
dc.language.isoenen
dc.subjectData analysis
dc.subjectWigner function
dc.titleLarge-scale data analysis using the Wigner function
dc.status.refereedYes
dc.typeArticle
dc.type.versionNo full-text in the repository
dc.identifier.doihttps://doi.org/10.1016/j.physa.2011.11.060
dc.openaccess.statusclosedAccess


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