Enabling AI applications in data science /

Enabling AI applications in data science /

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This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through...

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Bibliographic Details
Other Authors: Hassanien, Aboul Ella (Editor), Khalifa, Nour Eldeen M. (Editor), Taha, Mohamed Hamed N. (Editor)
Format: Book
Language:English
Published: Cham, Switzerland : Springer, [2021]
Edition:1st ed. 2021
Series:Studies in computational intelligence ; Volume 911
Subjects:
Artificial intelligence
Computational intelligence
Table of Contents:
  • Part I: Artificial Intelligence and Optimization
  • Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models
  • The Human Mental Search Algorithm for Solving Optimisation Problems
  • Reducing Redundant Association Rules Using Type-2 Fuzzy Logic
  • Identifiability of Discrete Concentration Graphical Models with a Latent Variable
  • An Automatic Classification of Genetic Mutations by Exploring Different Classifiers
  • Towards Artificial Intelligence: Concepts, Applications, and Innovations
  • Part II: Big Data and Artificial Intelligence Applications
  • In Depth Analysis, Applications and Future Issues of Artificial Neural Network
  • Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture
  • Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities

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