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Data Analytics : Concepts, Techniques, and Applications / edited by Mohiuddin Ahmed and Al-Sakib Khan Pathan.

Contributor(s): Ahmed, Mohiuddin [editor.] | Pathan, Al-Sakib Khan [editor.] | Taylor and Francis.
Material type: materialTypeLabelBookPublisher: Boca Raton, FL : CRC Press, [2018]Copyright date: ©2019Edition: First edition.Description: 1 online resource (450 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9780429446177.Subject(s): COMPUTERS / Database Management / Data Mining | COMPUTERS / Machine Theory | Quantitative research | Big dataGenre/Form: Electronic books.Additional physical formats: Print version: : No titleDDC classification: 005.7 Online resources: Click here to view. Also available in print format.
Contents:
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.
Abstract: 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.
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Includes bibliographical references and index.

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.

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.

Also available in print format.

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