Big Data Analytics for Professionals, Data-milling for Laypeople
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Summary
The findings show that the concept of Big Data analytics is unestablished, and the term data-milling is launched to illustrate an effort to uncover the information nuggets.
- Type
- article
- Published
- 2013-09-01
- Cited by
- 4
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W142468362
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:56088840
Keywords
Big data, Analytics, Data science, Data analysis, Computer science
References
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- Workload diversity and dynamics in big data analytics: implications to system designers
- Evaluation of virtual machine scalability on distributed multi/many-core processors for big data analytics
- Synchronous Parallel Processing of Big-Data Analytics Services to Optimize Performance in Federated Clouds
- T*: A data-centric cooling energy costs reduction approach for Big Data analytics cloud
- Performing systematic literature reviews in software engineering
- Where is big data in your information systems curriculum?
- BigBench: towards an industry standard benchmark for big data analytics
- Interactions with big data analytics
- Emerging trends around big data analytics and security: panel
- Clouds for Scalable Big Data Analytics
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