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Data Analytics: Concepts, Techniques, and Applications
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems....
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| Natura: | Printed Book |
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Boca Raton
CRC Press, Taylor & Francis Group,
2019
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Sommario:
- Part 1: Introduction to Data Analytics. 1. Techniques. 2. Classification. 3. Clustering. 4. Anomaly Detection. 5. Pattern Mining. Part 2: Tools for Data Analytics. 6. R. Hadoop. 7. Spark. 8. Rapid Miner. Part 3: Applications. 9. Health Care. 10. Internet of Things. 11. Cyber Security. Part 4: Futuristic Applications and Challenges.