Parallel and Distributed Data Mining in Cloud
| Autor: | Ivan Kholod, Ilya Petukhov, Mikhail Kuprianov |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Service (systems architecture)
Database Computer science Data stream mining business.industry media_common.quotation_subject Big data Parallel algorithm InformationSystems_DATABASEMANAGEMENT Cloud computing 02 engineering and technology computer.software_genre Data mining algorithm Debugging 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining business computer media_common |
| Zdroj: | Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783319415604 ICDM |
| DOI: | 10.1007/978-3-319-41561-1_26 |
| Popis: | The paper describes the approach for a distributed execution of data mining algorithms and using this approach for building a Cloud for Data Mining. The suggested approach allows us to execute data mining algorithms in different parallel and distributed environments. Thus, the created Cloud for Data Mining can be used as an analytic service and a platform for research and debugging parallel and distributed data mining algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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