Machine Learning Techniques Pattern (16 results)

Paperback. Condition: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.

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Gebunden. Condition: New. Presents innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. The book highlights a wide range of topics, including anomaly detection systems, biometrics, and.

paperback. Condition: New. Paperback. Pub Date: 2019-06-01 Pages: 140 Language: Chinese Publisher: Metallurgical Industry Press. pattern recognition and machine learning is an important problem in computer science and technology. Pattern recognition and machine learning technology. explained the first Bayesian classification. support vector machine learning algorithm commonly used machine and artificial neural networks. .

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book Provides a thorough overview of development in data mining tools is to effectively and efficiently extract useful biological information from gene expression datasets in pattern-recognition to allow the development of clustering and classification techniques. Discuss the incorporated computational models to extract hidden and useful information and illustrates the concepts of feature selection, clustering and classification techniques. This book will maintain and generate an interest in data mining methods. It major findings of this book in detail as follows: complete information on gene clustering, classification of basic concepts in data mining, expanded explanation of hybrid pattern discovery techniques, stating and development of new algorithmic approaches step by step . 144 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book Provides a thorough overview of development in data mining tools is to effectively and efficiently extract useful biological information from gene expression datasets in pattern-recognition to allow the development of clustering and classification techniques. Discuss the incorporated computational models to extract hidden and useful information and illustrates the concepts of feature selection, clustering and classification techniques. This book will maintain and generate an interest in data mining methods. It major findings of this book in detail as follows: complete information on gene clustering, classification of basic concepts in data mining, expanded explanation of hybrid pattern discovery techniques, stating and development of new algorithmic approaches step by step .

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mallick Pradeep KumarDr. Pradeep Kumar Mallick is currently working as a Professor in the Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India. His current area of research is Dat.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book Provides a thorough overview of development in data mining tools is to effectively and efficiently extract useful biological information from gene expression datasets in pattern-recognition to allow the development of clustering and classification techniques. Discuss the incorporated computational models to extract hidden and useful information and illustrates the concepts of feature selection, clustering and classification techniques. This book will maintain and generate an interest in data mining methods. It major findings of this book in detail as follows: complete information on gene clustering, classification of basic concepts in data mining, expanded explanation of hybrid pattern discovery techniques, stating and development of new algorithmic approaches step by step .Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.