Data Driven Science |
Author(s): |
| Mritunjay , IIMT COLLEGE OF ENGINEERING; Anoop Kumar, IIMT COLLEGE OF ENGINEERING; Amit Chauhan, IIMT COLLEGE OF ENGINEERING |
Keywords: |
| Data Driven Science, Hacking, Data Science |
Abstract |
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The volume of data that is generated each day is rising rapidly. There is a need to analyze this data efficiently and produce results quickly. Data science offers a formal methodology for processing and analyzing data. It involves a work-flow with multiple stages, such as, data collection, data wrangling, statistical analysis and machine learning. In this paper, we look at data analytics systems that support the data science work-flow. Diving in at a granular level to mine and understand complex behaviors, trends, and inferences. It is about surfacing hidden insight that can help enable companies to make smarter business decisions. |
Other Details |
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Paper ID: IJSRDV7I30463 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 627-629 |
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