Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Morik, Katharina | - |
dc.contributor.author | Rhode, Wolfgang | - |
dc.date.accessioned | 2020-02-14T15:13:47Z | - |
dc.date.available | 2020-02-14T15:13:47Z | - |
dc.date.issued | 2018-12-31 | - |
dc.identifier.uri | http://hdl.handle.net/2003/38571 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-20490 | - |
dc.description.abstract | The 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.language.iso | en | de |
dc.relation.ispartofseries | Technical report / Sonderforschungsbereich Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung; | - |
dc.subject | artificial intelligence | en |
dc.subject | data mining | en |
dc.subject | Eingebettete Systeme | de |
dc.subject | embedded systems | en |
dc.subject | knowledge discovery | en |
dc.subject | Künstliche Intelligenz | de |
dc.subject | ubiquitous systems | en |
dc.subject.ddc | 004 | - |
dc.title | Providing Information by Resource- Constrained Data Analysis | en |
dc.title.alternative | Technical report for Collaborative Research Center SFB 876 | en |
dc.type | Text | de |
dc.type.publicationtype | report | de |
dc.subject.rswk | Künstliche Intelligenz | de |
dc.subject.rswk | Data Mining | de |
dc.subject.rswk | Eingebettetes System | de |
dc.subject.rswk | Wissensextraktion | de |
dc.subject.rswk | Ubiquitous Computing | de |
dcterms.accessRights | open access | - |
eldorado.secondarypublication | false | de |
Appears in Collections: | Sonderforschungsbereich (SFB) 876 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SFB_Techreport_Graduiertenkolleg_2018.pdf | DNB | 24.37 MB | Adobe PDF | View/Open |
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