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Networks, Data Mining and Artificial Intelligence: Trends and Future Directions

Networks, Data Mining and Artificial Intelligence reflects current research in WSN, Data Clustering & Association Mining and emerging;

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Artificial Intelligence in Data Mining

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;

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Multi-disciplinary Trends in Artificial Intelligence

management; multi-agent systems; data mining and machine learning; computer vision; robotics; AI in bioinformatics; AI in security and networks; and;

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Recent Advances in Artificial Intelligence and Data Engineering

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various;

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Artificial Intelligence in Medicine

organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and;

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Applications of Machine Learning in Wireless Communications

data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues;

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Security in IoT Social Networks

. Mining and analyzing enormously vast networks is a vital part of exploiting Big Data. This book provides insight into the technological aspects;

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Introduction to Data Mining and its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents;

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AI 2006: Advances in Artificial Intelligence

, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent;

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Recent Trends and Future Technology in Applied Intelligence

optimization; data mining and knowledge discovery; evolutionary computation; expert systems and robotics; knowledge representation, machine learning;

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Multi-disciplinary Trends in Artificial Intelligence

from 82 submissions. They are organized in the following topical sections: knowledge representation and reasoning; data mining and machine;

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Artificial Intelligence and Security Challenges in Emerging Networks

discusses applications of artificial intelligence, machine learning, and data mining, as well as other tools and strategies to protect networks;

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Artificial Intelligence for Humans, Volume 3

of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation;

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Intelligent Learning Systems

some type of data mining in order to understand the clients' behaviour and to predict the future market trends. This edition covers;

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Computer Networks and Intelligent Computing

in topical sections on data mining; Web mining; artificial intelligence; soft computing; software engineering; computer communication networks;

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Proceedings of International Conference on Computational Intelligence and Computing

pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT;

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Pattern Recognition and Artificial Intelligence

intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision;

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Social Computing with Artificial Intelligence

number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining;

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Social Computing with Artificial Intelligence

number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining;

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Pattern Recognition and Artificial Intelligence

of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining;

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Innovations in Computer Science and Engineering

research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy;

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Modeling Decisions for Artificial Intelligence

sections: aggregation operators and decision making; data science and data mining; and data privacy and security.;

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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Foundations of Computational Intelligence 06

methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application;

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Convergence of Artificial Intelligence and the Internet of Things

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud;

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Convergence of Artificial Intelligence and the Internet of Things

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud;

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