Technologies And Applications For Big Data Value

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications.

Editors: Cavanillas, Jose Maria, Curry, Edward, Wahlster, Wolfgang (Eds.)
Provides the big picture on how to exploit big data, including technological, economic, political and societal issues
Details the complete lifecycle of the big data value chain, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation
Illustrates the potential of big data value within different sectors, including industry, healthcare, finance, energy, media and public services
Summarizes more than two years of research done by a leading group of major European research centers and industries

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy.

Understand what mean by smart cities and what technologies of the future of 4th generation cities like BIM, GIS, IOT, AI