Metaheuristics for Enterprise Data Intelligence
eBook - ePub

Metaheuristics for Enterprise Data Intelligence

  1. 158 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Metaheuristics for Enterprise Data Intelligence

Book details
Table of contents
Citations

About This Book

With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.

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Yes, you can access Metaheuristics for Enterprise Data Intelligence by Kaustubh Vaman Sakhare, Vibha Vyas, Apoorva S Shastri, Kaustubh Vaman Sakhare,Vibha Vyas,Apoorva S Shastri in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
ISBN
9781040096505
Edition
1
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. List of Contributors
  9. Chapter 1 ā—¾ Terror Attacks Forecast Using Machine Learning and Neo4j Sandbox: A Review
  10. Chapter 2 ā—¾ 5G Evolution and Revolution: A Study
  11. Chapter 3 ā—¾ Metaheuristic Algorithms and Its Application in Enterprise Data
  12. Chapter 4 ā—¾ Petrographic Image Classification Accuracy Improvement Using Improved Learning
  13. Chapter 5 ā—¾ Data Visualization and Dashboard Design for Enterprise Intelligence
  14. Chapter 6 ā—¾ Beyond the Hype: Understanding the Potential of ChatGPT in the Articulation of Technical Papers
  15. Chapter 7 ā—¾ Metaheuristics and Deep Learning in Lung Nodule Detection and Classification
  16. Chapter 8 ā—¾ An Improved Face Recognition Method Using Canonical Correlation Analysis
  17. Chapter 9 ā—¾ Guesswork to Results: How ML-Based A/B Testing Is Changing the Game
  18. Index