Description

Book Synopsis

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.



Table of 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.

Data Analytics

    Product form

    A Paperback by Mohiuddin Ahmed, Al-Sakib Khan Pathan

    £48.99

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      Book details

      Publisher Taylor & Francis
      Published 30 June 2020
      ISBN-13 9780367570989
      978-0367570989
      ISBN-10 036757098X
      Also in:
      Military administration

      Description

      Book Synopsis

      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.



      Table of 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.

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