Big-Data Analytics for Cloud, IoT and Cognitive Computing

1Big Data Science and Machine Intelligence

CHAPTER OUTLINE

1. 1.1 Enabling Technologies for Big Data Computing
   1. 1.1.1 Data Science and Related Disciplines
   2. 1.1.2 Emerging Technologies in the Next Decade
   3. 1.1.3 Interactive SMACT Technologies
2. 1.2 Social-Media, Mobile Networks and Cloud Computing
   1. 1.2.1 Social Networks and Web Service Sites
   2. 1.2.2 Mobile Cellular Core Networks
   3. 1.2.3 Mobile Devices and Internet Edge Networks
   4. 1.2.4 Mobile Cloud Computing Infrastructure
3. 1.3 Big Data Acquisition and Analytics Evolution
   1. 1.3.1 Big Data Value Chain Extracted from Massive Data
   2. 1.3.2 Data Quality Control, Representation and Database Models
   3. 1.3.3 Big Data Acquisition and Preprocessing
   4. 1.3.4 Evolving Data Analytics over the Clouds
4. 1.4 Machine Intelligence and Big Data Applications
   1. 1.4.1 Data Mining and Machine Learning
   2. 1.4.2 Big Data Applications – An Overview
   3. 1.4.3 Cognitive Computing – An Introduction
5. 1.5 Conclusions

1.1 Enabling Technologies for Big Data Computing

Over the past three decades, the state of high technology has gone through major changes in computing and communication platforms. In particular, we benefit greatly from the upgraded performance of the Internet and World Wide Web (WWW). We examine here the evolutional changes in platform architecture, deployed infrastructures, network connectivity and application variations. Instead of using desktop or personal computers to solve computational problems, the clouds appear as cost-efficient platforms to perform large-scale ...