Techniques association rule mining (16 Ergebnisse)
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Paperback. Zustand: new. Paperback. The rapid growth of electronic health records and biomedical repositories has created unprecedented opportunities to extract patterns from medical data. Among the most effective approaches for uncovering hidden relationships is association rule mining, a data mining technique designed to ident…ify patterns and correlations among variables. In recent years, advances in artificial intelligence (AI) have significantly enhanced interpretability when dealing with complex medical datasets. AI Techniques for Association Rule Mining in Medical Data: Trends and Practical Applications explores how AI is revolutionizing the process of discovering patterns and relationships in medical datasets. It examines how hybrid and intelligent models enable more accurate and clinically relevant pattern discovery in high-dimensional medical datasets. Covering topics such as AI, medical data, and medical technologies, this book is an excellent resource for academicians, data scientists, healthcare professionals, software engineers, AI developers, and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Zustand: new. Hardcover. The rapid growth of electronic health records and biomedical repositories has created unprecedented opportunities to extract patterns from medical data. Among the most effective approaches for uncovering hidden relationships is association rule mining, a data mining technique designed to ident…ify patterns and correlations among variables. In recent years, advances in artificial intelligence (AI) have significantly enhanced interpretability when dealing with complex medical datasets. AI Techniques for Association Rule Mining in Medical Data: Trends and Practical Applications explores how AI is revolutionizing the process of discovering patterns and relationships in medical datasets. It examines how hybrid and intelligent models enable more accurate and clinically relevant pattern discovery in high-dimensional medical datasets. Covering topics such as AI, medical data, and medical technologies, this book is an excellent resource for academicians, data scientists, healthcare professionals, software engineers, AI developers, and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Zustand: Neu. AI Techniques for Association Rule Mining in Medical Data | Trends and Practical Applications | Anandhavalli Muniasamy | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337366920 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri…[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid growth of electronic health records and biomedical repositories has created unprecedented opportunities to extract patterns from medical data. Among the most effective approaches for uncovering hidden relationships is association… rule mining, a data mining technique designed to identify patterns and correlations among variables. In recent years, advances in artificial intelligence (AI) have significantly enhanced interpretability when dealing with complex medical datasets. AI Techniques for Association Rule Mining in Medical Data: Trends and Practical Applications explores how AI is revolutionizing the process of discovering patterns and relationships in medical datasets. It examines how hybrid and intelligent models enable more accurate and clinically relevant pattern discovery in high-dimensional medical datasets. Covering topics such as AI, medical data, and medical technologies, this book is an excellent resource for academicians, data scientists, healthcare professionals, software engineers, AI developers, and graduate students.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid growth of electronic health records and biomedical repositories has created unprecedented opportunities to extract patterns from medical data. Among the most effective approaches for uncovering hidden relationships is association rule m…ining, a data mining technique designed to identify patterns and correlations among variables. In recent years, advances in artificial intelligence (AI) have significantly enhanced interpretability when dealing with complex medical datasets. AI Techniques for Association Rule Mining in Medical Data: Trends and Practical Applications explores how AI is revolutionizing the process of discovering patterns and relationships in medical datasets. It examines how hybrid and intelligent models enable more accurate and clinically relevant pattern discovery in high-dimensional medical datasets. Covering topics such as AI, medical data, and medical technologies, this book is an excellent resource for academicians, data scientists, healthcare professionals, software engineers, AI developers, and graduate students.
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