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Enabling AI Applications in Data Science / edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa.

By: Contributor(s): Material type: TextTextSeries: Studies in Computational Intelligence ; 911Publication details: Singapore: Springer, c2021.Edition: 1st ed. 2021Description: IX, 650 p.: 220 illus., 154 illus. in color,; 23 cmISBN:
  • 9783030520670
  • 9783030520663
  • 9783030520687
  • 9783030520694
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 620.00285 23 HAS-E 2021 789463
Online resources:
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.
In: Springer Nature eBookSummary: 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 the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Books Books Faculty of CS & IT Library CS & IT Shelf No. 44 New Arrival Book 620.00285 HAS-E 2021 789463 (Browse shelf(Opens below)) C 1 Available 789463
Total holds: 0

References.

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.

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 the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.

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