Cognitive Big Data Intelligence with a Metaheuristic Approach
eBook - ePub

Cognitive Big Data Intelligence with a Metaheuristic Approach

  1. 372 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cognitive Big Data Intelligence with a Metaheuristic Approach

About this book

Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks. - Provides a unique opportunity to present the work on the state-of-the-art of metaheuristics approach in the area of big data processing developing automated and intelligent models - Explains different, feasible applications and case studies where cognitive computing can be successfully implemented in big data analytics using metaheuristics algorithms - Provides a snapshot of the latest advances in the contribution of metaheuristics frameworks in cognitive big data applications to solve optimization problems

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Cognitive Big Data Intelligence with a Metaheuristic Approach by Sushruta Mishra,Hrudaya Kumar Tripathy,Pradeep Kumar Mallick,Arun Kumar Sangaiah,Gyoo-Soo Chae in PDF and/or ePUB format, as well as other popular books in Informatique & Intelligence artificielle (IA) et sémantique. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cognitive Big Data Intelligence with a Metaheuristic Approach
  2. Chapter 1 A discourse on metaheuristics techniques for solving clustering and semisupervised learning models
  3. Chapter 2 Metaheuristics in classification, clustering, and frequent pattern mining
  4. Chapter 3 Impacts of metaheuristic and swarm intelligence approach in optimization
  5. Chapter 4 A perspective depiction of heuristics in virtual reality
  6. Chapter 5 A heuristic approach of web users decision-making using deep learning models
  7. Chapter 6 Inertia weight strategies for task allocation using metaheuristic algorithm
  8. Chapter 7 Big data classification with IoT-based application for e-health care
  9. Chapter 8 Study of bio-inspired neural networks for the prediction of liquid flow in a process control system
  10. Chapter 9 Affordable energy-intensive routing using metaheuristics
  11. Chapter 10 Semantic segmentation for self-driving cars using deep learning
  12. Chapter 11 Cognitive big data analysis for E-health and telemedicine using metaheuristic algorithms
  13. Chapter 12 Multicriteria recommender system using different approaches
  14. Chapter 13 Optimization-based energy-efficient routing scheme for wireless body area network
  15. Chapter 14 Livestock health monitoring using a smart IoT-enabled neural network recognition system
  16. Chapter 15 Preserving healthcare data
  17. Index