Big Data in Engineering Applications

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Roy, Sanjiban Sekhar (Editor), Samui, Pijush (Editor), Deo, Ravinesh (Editor), Ntalampiras, Stavros (Editor)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Big Data, 44
Subjects:
Computational intelligence.
Big data.
Mathematics > Data processing.
Computational Intelligence.
Big Data.
Computational Science and Engineering.
Online Access:Full-text access
Table of Contents:
  • 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.

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