Big data in engineering applications

✍ Scribed by Deo, Ravinesh; Ntalampiras, Stavros; Roy, Sanjiban Sekhar; Samui, Pijush et al. (eds.)

Publisher: Springer
Year: 2018
Tongue: English
Leaves: 381
Series: Studies in big data 44
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all Read more...

Abstract:

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. Read more...

✦ Table of Contents

Content: Big Data Applications in Education and Health Care --
Analysis of Compressive strength of alkali activated cement using Big data analysis --
Application of cluster based AI methods on daily streamflows --
Bigdata applications to smart power systems --
Big Data in e-commerce --
Interaction of Independent Component Analysis (ICA) and Support Vector Machine (SVM) in exploration of Greenfield areas --
Big Data Analysis of decay Coefficient of Naval Propulsion Plant --
Information Extraction and Text Summarization in documents using Apache Spark --
Detecting Outliers from Big Data Streams --
Machine Learning in Big Data Applications.

✦ Subjects

Big data.;Engineering.;Computer science -- Mathematics.;Computational intelligence.;COMPUTERS -- Data Processing.;Computational Intelligence.;Big Data.;Computational Science and Engineering.

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