Intelligent data analysis challenges (22 resultados)

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Taschenbuch. Condición: Neu. Intelligent Data Analysis for Biomedical Applications | Challenges and Solutions | D. Jude Hemanth (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Academic Press | EAN 9780128155530 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

Hardcover. Condición: Brand New. 255 pages. 10.00x7.00x10.00 inches. In Stock.

Condición: New. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Address.

Buch. Condición: Neu. Neuware - Intelligent data analysis (IDA) is a method for discovering useful and intriguing information from data to aid in decision making. An IDA task comprises prediction, knowledge discovery, process or system modeling, and constructing knowledge based systems. There are numerous applications of IDA methods in various fields, including finance, marketing, agriculture, and medicine. The demand and availability of more advanced IDA methods has grown in response to the rapidly increasing volume of real-time data that is generated due to an increase in the usage of electronic commerce, web, and multimedia technologies. There are a number of challenges in the application of IDA methods in real-world, such as lack of tools suitable for large data, and lack of user friendly and effective post processing tools. The other challenges include lack of a truly integrated data analysis environment and lack of efficient and automatic preprocessing tools. This book elucidates the challenges and solutions with respect to intelligent data analysis. The topics covered herein offer the readers new insights on this subject.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.…

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