Skip to main content
SpringerLink
Log in

Machine Learning Algorithms for Industrial Applications

  • Book
  • © 2021

Overview

Editors:
  1. 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

  2. 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

  3. 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

  4. 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)

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

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Natural Language Processing

    1. Front Matter

      Pages 1-1
      Download chapter 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

  3. Computer Vision

    1. Front Matter

      Pages 67-67
      Download chapter 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

  4. Data Analysis and Prediction

    1. Front Matter

      Pages 183-183
      Download chapter 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

  5. Decision Making System

    1. Front Matter

      Pages 265-265
      Download chapter 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
Back to top

Keywords

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.   


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

Back to top

Search

Navigation