Name: Machine Learning Algorithms for Industrial Applications
ISBN: 978-3-030-50641-4

Editors:

Santosh Kumar Das⁰,
Shom Prasad Das¹,
Nilanjan Dey²,
…
Aboul-Ella Hassanien³

Santosh Kumar Das
1. School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Berhampur, India
View editor publications

You can also search for this editor in PubMed Google Scholar
Shom Prasad Das
1. School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Berhampur, India
View editor publications

You can also search for this editor in PubMed Google Scholar
Nilanjan Dey
1. Department of Information Technology, Techno India College of Technology, Kolkata, India
View editor publications

You can also search for this editor in PubMed Google Scholar
Aboul-Ella Hassanien
1. Founder and Head of the Egyptian Scientific Research Group (SRGE), Information Technology Department, Cairo University, Faculty of Computer and Artificial Intelligence, Giza, Egypt
View editor publications

You can also search for this editor in PubMed Google Scholar

Discusses recently developed, innovative machine learning algorithms for applications in industry
Presents the state of the art in machine learning algorithms for a global industrial scenario
Written by respected experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 907)

28k Accesses
58 Citations
1 Altmetric

Buy it now

eBook USD 129.00

Price excludes VAT (USA)

Softcover Book USD 169.99

Price excludes VAT (USA)

Hardcover Book USD 169.99

Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Learn about institutional subscriptions

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (17 chapters)

Front Matter

Pages i-xvii

PDF
Natural Language Processing
1. Front Matter
  
  Pages 1-1
  
  PDF
2. A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text
  
  Imran Rasheed, Haider Banka, Hamaid Mahmood Khan
  
  Pages 3-18
3. Automated Document Categorization Model
  
  Rakhi Patra
  
  Pages 19-36
4. Automated Categorization and Mining Tweets for Disaster Management
  
  Rakhi Patra
  
  Pages 37-51
5. Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction Using WEKA
  
  Praphula Kumar Jain, Rajendra Pamula
  
  Pages 53-65
Computer Vision
1. Front Matter
  
  Pages 67-67
  
  PDF
2. Image Inpainting for Irregular Holes Using Extreme Learning Machine
  
  Debanand Kanhar, Raunak Chandak
  
  Pages 69-81
3. OCR Using Computer Vision and Machine Learning
  
  Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza
  
  Pages 83-105
4. Few Shot Learning for Medical Imaging
  
  Jai Kotia, Adit Kotwal, Rishika Bharti, Ramchandra Mangrulkar
  
  Pages 107-132
5. Hyperspectral Remote Sensing Image Classification Using Active Learning
  
  Vimal K. Shrivastava, Monoj K. Pradhan
  
  Pages 133-152
6. A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document
  
  Ranjit Kumar Behera, Biswajeet Padhi
  
  Pages 153-166
7. GRNN Based an Intelligent Technique for Image Inpainting
  
  Debanand Kanhar, Raunak Chandak
  
  Pages 167-181
Data Analysis and Prediction
1. Front Matter
  
  Pages 183-183
  
  PDF
2. Content-Based Airline Recommendation Prediction Using Machine Learning Techniques
  
  Praphula Kumar Jain, Rajendra Pamula
  
  Pages 185-194
3. A Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope
  
  Jayraj Singh, Haider Banka
  
  Pages 195-207
4. An Application of Operational Analytics: For Predicting Sales Revenue of Restaurant
  
  Samiran Bera
  
  Pages 209-235
5. Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps
  
  Nabanita Dutta, Palanisamy Kaliannan, Umashankar Subramaniam
  
  Pages 237-263
Decision Making System
1. Front Matter
  
  Pages 265-265
  
  PDF
2. Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor
  
  Divya Mishra, Abhishek Kumar, Vishwas Mishra, Shobhit Tyagi, Shyam Akashe
  
  Pages 267-284

About this book

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry.

The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

Keywords

Editors and Affiliations

School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Berhampur, India

Santosh Kumar Das, Shom Prasad Das
Department of Information Technology, Techno India College of Technology, Kolkata, India

Nilanjan Dey
Founder and Head of the Egyptian Scientific Research Group (SRGE), Information Technology Department, Cairo University, Faculty of Computer and Artificial Intelligence, Giza, Egypt

Aboul-Ella Hassanien

Bibliographic Information

Book Title: Machine Learning Algorithms for Industrial Applications
Editors: Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-50641-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-50640-7Published: 19 July 2020
Softcover ISBN: 978-3-030-50643-8Published: 20 July 2021
eBook ISBN: 978-3-030-50641-4Published: 18 July 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVII, 315
Number of Illustrations: 47 b/w illustrations, 117 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence

Publish with us

Policies and ethics

Editors:

Sections

Buy it now

Buying options

Other ways to access

Table of contents (17 chapters)

Front Matter

Natural Language Processing

Front Matter

Computer Vision

Front Matter

Data Analysis and Prediction

Front Matter

Decision Making System

Front Matter

About this book

Keywords

Editors and Affiliations

School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Berhampur, India

Department of Information Technology, Techno India College of Technology, Kolkata, India

Founder and Head of the Egyptian Scientific Research Group (SRGE), Information Technology Department, Cairo University, Faculty of Computer and Artificial Intelligence, Giza, Egypt

Bibliographic Information

Publish with us

Buy it now

Buying options

Other ways to access

Search

Navigation