Data science and big data analytics: discovering, analyzing, visualizing and presenting data
- Indianápolis, Indiana : John Wiley & Sons, 2015
- 410 p. : fig. ; tab.
Contents.
Chapter 1: Introduction to Big Data Analytics. -- Chapter 2: Data Analytics Lifecycle. -- Chapter 3: Review of Basic Data Analytic Methods Using R. -- Chapter 4: Advanced Analytical Theory and Methods: Clustering. -- Chapter 5: Advanced Analytical Theory and Methods: Association Rules. -- Chapter 6: -- Advanced Analytical Theory and Methods: Regression. -- Chapter 7: Advanced Analytical Theory and Methods: Classification. -- Chapter 8: Advanced Analytical Theory and Methods: Time Series Analysis. -- Chapter 9: Advanced Analytical Theory and Methods: Text Analysis. -- Chapter 10: Advanced Analytics—Technology and Tools: MapReduce and Hadoop. -- Chapter 11: Advanced Analytics—Technology and Tools: In-Database Analytics. -- Chapter 12: The Endgame, or Putting It All Together.
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software.
9781118876138
Data in computer systems
Datos en los sistemas informáticos
Data sets
Conjuntos de datos
Big data
Integración semántica--Sistemas informáticos
005.7 / D232
Contents.
Chapter 1: Introduction to Big Data Analytics. -- Chapter 2: Data Analytics Lifecycle. -- Chapter 3: Review of Basic Data Analytic Methods Using R. -- Chapter 4: Advanced Analytical Theory and Methods: Clustering. -- Chapter 5: Advanced Analytical Theory and Methods: Association Rules. -- Chapter 6: -- Advanced Analytical Theory and Methods: Regression. -- Chapter 7: Advanced Analytical Theory and Methods: Classification. -- Chapter 8: Advanced Analytical Theory and Methods: Time Series Analysis. -- Chapter 9: Advanced Analytical Theory and Methods: Text Analysis. -- Chapter 10: Advanced Analytics—Technology and Tools: MapReduce and Hadoop. -- Chapter 11: Advanced Analytics—Technology and Tools: In-Database Analytics. -- Chapter 12: The Endgame, or Putting It All Together.
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software.
9781118876138
Data in computer systems
Datos en los sistemas informáticos
Data sets
Conjuntos de datos
Big data
Integración semántica--Sistemas informáticos
005.7 / D232
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