Big Data in Engineering Applications. (2018)
- Record Type:
- Book
- Title:
- Big Data in Engineering Applications. (2018)
- Main Title:
- Big Data in Engineering Applications
- Further Information:
- Note: Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras.
- Editors:
- Roy, Sanjiban Sekhar
Samui, Pijush
Deo, Ravinesh
Ntalampiras, Stavros - 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.
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2018
- Copyright Date:
- 2018
- Extent:
- 1 online resource (384 pages)
- Subjects:
- Engineering
Big data
Computer science
Computers -- Database Management -- General
Computers -- Computer Science
Databases
Maths for scientists
Computers -- Intelligence (AI) & Semantics
Artificial intelligence - Languages:
- English
- ISBNs:
- 9789811084768
- Related ISBNs:
- 9789811084751
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.407256
- Ingest File:
- 02_480.xml