Decision Support Framework for Big Data Analytics
| Autor: | Sakshi Agarwal, Rohit Gupta, Krishnaprasad Narayanan, Tridib Mukherjee, Sharanya Eswaran, Manjira Sinha |
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| Rok vydání: | 2018 |
| Předmět: |
Decision support system
Computer science business.industry End user Big data Decision tree Analytic hierarchy process 020207 software engineering 02 engineering and technology Data science Data modeling Knowledge-based systems 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | SERVICES |
| DOI: | 10.1109/services.2018.00040 |
| Popis: | Making design choices for big data systems is not trivial. If not planned out efficiently, keeping in mind the practical requirements, there's a possibility that the deployed system can lack important features to match up the application or it may contain over-sophisticated methods that incurs a large cost, but little increase in the efficiency, output. To equip the end user towards wise design choices, we have proposed a decision support framework for big data systems that can evaluate the suitability over numerous design combinations and outputs the one most efficient for the end-user requirement. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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