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Big Data in Engineering Applications Vital Source e-bog
Sanjiban Sekhar Roy
(2018)
Springer Nature
1.712,00 kr.
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Big Data in Engineering Applications
Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo og Stavros Ntalampiras
(2018)
Sprog: Engelsk
Springer
2.068,00 kr.
Print on demand. Leveringstid vil være ca 2-3 uger.
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Maj 2018)
- ISBN: 9789811084768
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 sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback
- Udgiver: Springer (Maj 2018)
- Forfattere: Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo og Stavros Ntalampiras
- ISBN: 9789811084751
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 sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.
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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