Network Data Analytics A Hands-On Approach for Application Development /

• Κύριοι συγγραφείς: Srinivasa, K. G. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), G. M., Siddesh (http://id.loc.gov/vocabulary/relators/aut), H., Srinidhi (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Computer Communications and Networks,
• Θέματα: Data mining.; Big data.; Mathematics.; Visualization.; Artificial intelligence.; Data Mining and Knowledge Discovery.; Big Data.; Artificial Intelligence.

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of...

Πίνακας περιεχομένων:

• Part I: Data Analytics and Hadoop
• Chapter 1. Introduction to Data Analytics
• Chapter 2. Introduction to Hadoop
• Chapter 3. Data Analytics with Map Reduce
• Part II: Tools for Data Analytics
• Chapter 4. Apache Pig
• Chapter 5. Apache Hive
• Chapter 6. Apache Spark
• Chapter 7. Apache Flume
• Chapter 8. Apache Storm
• Chapter 9. Python R
• Part III: Machine Learning for Data Analytics
• Chapter 10. Basics of Machine Learning
• Chapter 11. Linear Regression
• Chapter 12. Logistic Regression
• Chapter 13. Machine Learning on Spark
• Part IV: Exploring and Visualizing Data
• Chapter 14. Introduction to Visualization
• Chapter 15. Principles of Data Visualization
• Chapter 16. Visualization Charts
• Chapter 17. Popular Visualization Tools
• Chapter 18. Data Visualization with Hadoop
• Part V: Case Studies
• Chapter 19. Product Recommendation
• Chapter 20. Market Basket Analysis.