Big Data in Engineering Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Roy, Sanjiban Sekhar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Samui, Pijush (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Deo, Ravinesh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ntalampiras, Stavros (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Big Data, 44
• Θέματα: Computational intelligence.; Big data.; Computer mathematics.; Computational Intelligence.; Big Data.; Computational Science and Engineering.

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...

Πίνακας περιεχομένων:

• 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.