Verma gurudatta (28 risultati)

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with a different research area of cognitive IoT and explains how machine learning algorithms can be applied for cognitive IoT. It deals with applications of cognitive IoT in this pandemic (COVID-19), applications for student performance evaluation, applications for human healthcare for chronic disease prediction, use of wearable sensors and review regarding their energy optimization and how cognitive IoT helps in farming through rainfall prediction and prediction of lake levels.Features:Describes how cognitive IoT is helpful for chronic disease prediction and processing of data gathered from healthcare devicesExplains different sensors available for health monitoringExplores application of cognitive IoT in COVID-19 analysisDiscusses pertinent and efficient farming applications for sustaining agricultural growthReviews smart educational aspects such as student response, performance, and behavior and instructor response, performance, and behaviorThis book aims at researchers, professionals and graduate students in Computer Science and Engineering, Computer Applications and Electronics Engineering, and Wireless Communications and Networking.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Verma GurudattaGurudatta Verma is a faculty in Deptt. of Computer Science RSRRCET,Bhilai.He acquired BE(IT) from RCET,Bhilai affiliated to Pt.RSSU, Raipur. He is currently pursuing M.Tech in Computer Science & Engineering from CSIT, .…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Association mining is one of the most researched areas of data mining and has received much attention from the database community. Association rules are interesting correlations among attributes in a database. These rules have many applications in areas ranging from e-commerce to sports to census analysis to medical diagnosis. The most time consuming operation in discovery of association rules is computation of frequency of interesting subset of items (called candidates) in the database of transactions. Hence, it has become vital to develop a method that may avoid or reduce candidate generation and test, utilize some novel data structures to reduce the cost in frequent pattern mining. An Effectual Generalized Mesh Transposition Algorithm (EGMTA) is proposed which is an integrated approach of Parallel Computing and ARM for mining Association Rules in Generalized data set. EGMTA is fundamentally different from all the previous algorithms. As EGMTA uses database in transposed form which has been done using Parallel transposition (Mesh Transpose), hence to generate all significant association rules number of passes required is reduced.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr J P Patra is a Professor at Shri Shankaracharya Institute of Professional Management and Technology, Raipur, under Chhattisgarh Swami Vivekanand Technical University, Bhilai, India. He has more than 17 years of experience in research.. …