Providing Information by Resource- Constrained Data Analysis

dc.contributor.authorMorik, Katharina
dc.contributor.authorRhode, Wolfgang
dc.date.accessioned2021-11-09T14:59:56Z
dc.date.available2021-11-09T14:59:56Z
dc.date.issued2020-12-31
dc.description.abstractThe Collaborative Research Center SFB 876 (Providing Information by Resource-Constrained Data Analysis) brings together the research fields of data analysis (Data Mining, Knowledge Discovery in Data Bases, Machine Learning, Statistics) and embedded systems and enhances their methods such that information from distributed, dynamic masses of data becomes available anytime and anywhere. The research center approaches these problems with new algorithms respecting the resource constraints in the different scenarios. This Technical Report presents the work of the members of the integrated graduate school.en
dc.identifier.urihttp://hdl.handle.net/2003/40546
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22415
dc.language.isoende
dc.relation.ispartofseriesTechnical report / Sonderforschungsbereich Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung;2020
dc.subjectKünstliche Intelligenzde
dc.subjectData Miningde
dc.subjectEingebettetes Systemde
dc.subjectWissensextraktionde
dc.subjectUbiquitous Computingen
dc.subject.ddc004
dc.subject.rswkKünstliche Intelligenzde
dc.subject.rswkData Miningde
dc.subject.rswkEingebettetes Systemde
dc.subject.rswkWissensextraktionde
dc.subject.rswkUbiquitous Computingde
dc.titleProviding Information by Resource- Constrained Data Analysisen
dc.title.alternativeTechnical report for Collaborative Research Center SFB 876en
dc.typeTextde
dc.type.publicationtypereportde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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