Cover for Data Analysis in the Cloud

Data Analysis in the Cloud

Models, Techniques and Applications

A volume in Computer Science Reviews and Trends

Book2015

Authors:

Domenico Talia, Paolo Trunfio and Fabrizio Marozzo

Data Analysis in the Cloud

Models, Techniques and Applications

A volume in Computer Science Reviews and Trends

Book2015

 

Cover for Data Analysis in the Cloud

Authors:

Domenico Talia, Paolo Trunfio and Fabrizio Marozzo

About the book

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Book description

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using th ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - Introduction to Data Mining

    Pages 1-25

  3. Book chapterAbstract only

    Chapter 2 - Introduction to Cloud Computing

    Pages 27-43

  4. Book chapterAbstract only

    Chapter 3 - Models and Techniques for Cloud-Based Data Analysis

    Pages 45-76

  5. Book chapterAbstract only

    Chapter 4 - Designing and Supporting Scalable Data Analytics

    Pages 77-122

  6. Book chapterAbstract only

    Chapter 5 - Research Trends in Big Data Analysis

    Pages 123-138

About the book

Description

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.

Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.

Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.

Key Features

  • Introduces data analysis techniques and cloud computing concepts
  • Describes cloud-based models and systems for Big Data analytics
  • Provides examples of the state-of-the-art in cloud data analysis
  • Explains how to develop large-scale data mining applications on clouds
  • Outlines the main research trends in the area of scalable Big Data analysis
  • Introduces data analysis techniques and cloud computing concepts
  • Describes cloud-based models and systems for Big Data analytics
  • Provides examples of the state-of-the-art in cloud data analysis
  • Explains how to develop large-scale data mining applications on clouds
  • Outlines the main research trends in the area of scalable Big Data analysis

Details

ISBN

978-0-12-802881-0

Language

English

Published

2015

Copyright

Copyright © 2015 Elsevier Inc. All rights reserved.

Imprint

Elsevier

Authors

Domenico Talia

Paolo Trunfio

Fabrizio Marozzo