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Artificial Intelligence and Data Mining Approaches in Security Frameworks: Advances and Challenges - Rilegato
- EditoreWiley-Scrivener
- Data di pubblicazione2021
- ISBN 10 1119760402
- ISBN 13 9781119760405
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine320
- RedattoreBhargava Neeraj, Bhargava Ritu, Rathore Pramod Singh, Agrawal Rashmi
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Artificial Intelligence and Data Mining Approaches in Security Frameworks : Advances and Challenges
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Artificial Intelligence and Data Mining Approaches in Security Frameworks : Advances and Challenges
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Artificial Intelligence and Data Mining Approaches in Security Frameworks (Hardcover)
Editore:
John Wiley & Sons Inc, New York, 2021
ISBN 10: 1119760402
ISBN 13: 9781119760405
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Hardcover. Condizione: new. Hardcover. ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept dened through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781119760405
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Artificial Intelligence and Data Mining Approaches in Security Frameworks : Advances and Challenges
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Artificial Intelligence and Data Mining Approaches in Security Frameworks (Hardcover)
Editore:
John Wiley & Sons Inc, New York, 2021
ISBN 10: 1119760402
ISBN 13: 9781119760405
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Hardcover. Condizione: new. Hardcover. ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept dened through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781119760405
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Artificial Intelligence and Data Mining Approaches in Security Frameworks
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Artificial Intelligence and Data Mining Approaches in Security Frameworks Advances and Challenges
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Hardcover. Condizione: Brand New. 311 pages. 9.17x6.46x0.91 inches. In Stock. Codice articolo __1119760402
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Artificial Intelligence and Data Mining Approaches in Security Frameworks
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John Wiley & Sons Inc, 2021
ISBN 10: 1119760402
ISBN 13: 9781119760405
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Condizione: New. 2021. 1st Edition. Hardcover. . . . . . Codice articolo V9781119760405
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