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Big Data in Engineering Applications

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
PublishedOn
2018-12-23
Title
Big Data in Engineering Applications
ISBN
9789811341625
Publication Name
Big Data in Engineering Applications
Item Length
9.2in
Publisher
Springer
Series
Studies in Big Data Ser.
Publication Year
2018
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.8in
Author
Pijush Samui
Item Width
6.1in
Item Weight
21.1 Oz
Number of Pages
VI, 384 Pages

About this product

Product Information

Reviews exhaustively the key recent applications of Big Data in engineering areas Includes chapters related to the application of advanced machine learning techniques in Big Data environment Treats both theoretical and practical aspects of Big Data applications in various engineering sectors

Product Identifiers

Publisher
Springer
ISBN-10
9811341621
ISBN-13
9789811341625
eBay Product ID (ePID)
26038440183

Product Key Features

Author
Pijush Samui
Publication Name
Big Data in Engineering Applications
Format
Trade Paperback
Language
English
Series
Studies in Big Data Ser.
Publication Year
2018
Type
Textbook
Number of Pages
VI, 384 Pages

Dimensions

Item Length
9.2in
Item Height
0.8in
Item Width
6.1in
Item Weight
21.1 Oz

Additional Product Features

Series Volume Number
44
Number of Volumes
1 Vol.
Lc Classification Number
Q342
Table of 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.
Copyright Date
2018
Topic
Engineering (General), Intelligence (Ai) & Semantics, Databases / Data Mining, Databases / General
Intended Audience
Trade
Illustrated
Yes
Genre
Computers, Technology & Engineering

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  • GB 724498118
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