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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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Detalhes bibliográficos
Autor principal: Mohiuddin Ahmed
Outros Autores: Al-Sakib Khan Pathan
Formato: Printed Book
Publicado em: Boca Raton CRC Press, Taylor & Francis Group, 2019
Assuntos:
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100 |a  Mohiuddin Ahmed 
245 |a Data Analytics: Concepts, Techniques, and Applications 
260 |a  Boca Raton  |b CRC Press, Taylor & Francis Group,  |c 2019 
300 |a  xxiii, 425 pages ; 24 cm 
505 |a 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. 
520 |a 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. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.  
650 |a  Quantitative research. Big data. 
700 |a Al-Sakib Khan Pathan 
942 |c BK 
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