Book description
NoneTable of contents
- Cover Page
- Title Page
- Copyright
- Credits
- About the Key Contributors
- Acknowledgments
- Contents
- Foreword
- Introduction
- 1: Introduction to Big Data Analytics
-
2: Data Analytics Lifecycle
- 2.1 Data Analytics Lifecycle Overview
- 2.2 Phase 1: Discovery
- 2.3 Phase 2: Data Preparation
- 2.4 Phase 3: Model Planning
- 2.5 Phase 4: Model Building
- 2.6 Phase 5: Communicate Results
- 2.7 Phase 6: Operationalize
- 2.8 Case Study: Global Innovation Network and Analysis (GINA)
- Summary
- Exercises
- Bibliography
- 3: Review of Basic Data Analytic Methods Using R
- 4: Advanced Analytical Theory and Methods: Clustering
- 5: Advanced Analytical Theory and Methods: Association Rules
- 6: Advanced Analytical Theory and Methods: Regression
- 7: Advanced Analytical Theory and Methods: Classification
- 8: Advanced Analytical Theory and Methods: Time Series Analysis
- 9: Advanced Analytical Theory and Methods: Text Analysis
- 10: Advanced Analytics— Technology and Tools: MapReduce and Hadoop
- 11: Advanced Analytics— Technology and Tools: In-Database Analytics
- 12: The Endgame, or Putting It All Together
- Index
Product information
- Title: Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data
- Author(s):
- Release date:
- Publisher(s): Wiley
- ISBN: None