Machine Learning Techniques for Pattern Recognition and Information Security by Mohit Dua
The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives. The Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.-
Integrating Artificial Intelligence With Design
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Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis
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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
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Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
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Advanced Concepts, Methods, and Applications in Semantic Computing
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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
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Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems
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Artificial Intelligence Applications in Agriculture and Food Quality Improvement
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Innovations and Applications of AI, IoT, and Cognitive Technologies
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Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality
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Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments
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Examining Optoelectronics in Machine Vision and Applications in Industry 4.0
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Handbook of Research on Advancements in AI and IoT Convergence Technologies
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Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
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Scalable and Distributed Machine Learning and Deep Learning Patterns
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Meta-Learning Frameworks for Imaging Applications
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Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization
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Constraint Decision-Making Systems in Engineering
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Recent Developments in Machine and Human Intelligence
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Artificial Intelligence Applications in Literary Works and Social Media
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Analyzing Future Applications of AI, Sensors, and Robotics in Society
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Handbook of Research on Emerging Trends and Applications of Machine Learning
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Artificial Neural Network Applications in Business and Engineering
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Cases on Edge Computing and Analytics
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Transforming the Internet of Things for Next-Generation Smart Systems
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Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning
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Machine Learning Applications in Non-Conventional Machining Processes
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Socrates Digital for Learning and Problem Solving
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Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence
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Applications of Artificial Intelligence in Additive Manufacturing
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Applications of Artificial Intelligence for Smart Technology
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Driving Innovation and Productivity Through Sustainable Automation
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Managerial Challenges and Social Impacts of Virtual and Augmented Reality
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Applications of Computational Science in Artificial Intelligence
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Smart Systems Design, Applications, and Challenges
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Intelligent Robotic Process Automation: Development, Vulnerability and Applications
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Intelligent Robotic Process Automation
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AI Applications for Business, Medical, and Agricultural Sustainability
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AI Techniques for Multimedia Data Processing
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Bio-Inspired Intelligence for Smart Decision-Making
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Innovations in Optimization and Machine Learning
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Multidisciplinary Applications of Extended Reality for Human Experience
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Challenges in Large Language Model Development and AI Ethics
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Computational Intelligence for Green Cloud Computing and Digital Waste Management
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Quantum Networks and Their Applications in AI
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AI and Quantum Network Applications in Business and Medicine
| SKU | Unavailable |
| ISBN 13 | 9781799832997 |
| ISBN 10 | 1799832996 |
| Title | Machine Learning Techniques for Pattern Recognition and Information Security |
| Author | Mohit Dua |
| Series | Advances In Computational Intelligence And Robotics Ser |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2021-05-30 |
| Number of pages | 300 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |