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2017-05-29Diskussionspapier DOI: 10.18452/18699
Data science & digital society
dc.contributor.authorChen, Cathy Yi-Hsuan
dc.contributor.authorHärdle, Wolfgang Karl
dc.date.accessioned2018-01-11T09:43:44Z
dc.date.available2018-01-11T09:43:44Z
dc.date.issued2017-05-29
dc.identifier.urihttp://edoc.hu-berlin.de/18452/19409
dc.description.abstractData Science looks at raw numbers and informational objects created by different disciplines. The Digital Society creates information and numbers from many scientiHic disciplines. The amassment of data though makes is hard to Hind structures and requires a skill full analysis of this massive raw material. The thoughts presented here on DS2 - Data Science & Digital Society analyze these challenges and offers ways to handle the questions arising in this evolving context. We propose three levels of analysis and lay out how one can react to the challenges that come about. Concrete examples concern Credit default swaps, Dynamic Topic modeling, Crypto currencies and above all the quantitative analysis of real data in a DS2 context.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectData Scienceeng
dc.subjectDigital Societyeng
dc.subjectsocial networkseng
dc.subjectherdingeng
dc.subjectsentimentseng
dc.subject.ddc330 Wirtschaft
dc.titleData science & digital society
dc.typeworkingPaper
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/19409-6
dc.identifier.doihttp://dx.doi.org/10.18452/18699
local.edoc.container-titleSonderforschungsbereich 649: Ökonomisches Risiko
local.edoc.pages10
local.edoc.type-nameDiskussionspapier
local.edoc.institutionWirtschaftswissenschaftliche Fakultät
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2017
local.edoc.container-issue10
local.edoc.container-erstkatid2195055-6

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