The Linear Estimation Problem and Information in Big-Data Systems
| Autor: | Peter Golubtsov |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Estimation
Computer science business.industry 05 social sciences Big data Information quality 050905 science studies computer.software_genre Linear estimation Data set Information space Data mining 0509 other social sciences 050904 information & library sciences business Representation (mathematics) General Economics Econometrics and Finance computer |
| Zdroj: | Automatic Documentation and Mathematical Linguistics. 52:73-79 |
| ISSN: | 1934-8371 0005-1055 |
| DOI: | 10.3103/s0005105518020024 |
| Popis: | This paper addresses the problem of transforming the optimal linear estimation procedure in such a way that separate fragments of initial data are processed individually and concurrently. A representation of intermediate information is proposed that allows an algorithm to concurrently extract this information from each initial data set, combine it, and use it for estimation. It is shown that, on an information space constructed, an ordering is induced that reflects the concept of information quality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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