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Synopsis
PPDM using optimization methods brings you up-to-date with various PPDM Algorithms, Randomization Method, Group Based Anonymization, Distributed Privacy-Preserving Data Mining and k-Anonymous Data Mining discussed. The performance of classification accuracy and the computational time of various data mining algorithms with and without anonymized datasets and also model ranking algorithms are discussed. This book explores the possibility of using fuzzy logic for anonymization of data. The anonymization achieved is evaluated for classification accuracy using data mining algorithms. The state-of-the-art methods for privacy-preserving evolutionary algorithms (EAs) are discussed. A Hybrid Evolutionary Algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are discussed.
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About the Author
Sridhar Mandapati obtained his Ph.D (Computer Science and Engineering) from Acharya Nagarjuna University, Guntur and Master of Computer Applications from S.V University, Tirupathi. He is currently working as Associate Professor in the Department of Computer Applications at R.V.R. & J.C College of Engineering, Guntur.
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Privacy Preserving Data Mining using Optimization Methods
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -PPDM using optimization methods brings you up-to-date with various PPDM Algorithms, Randomization Method, Group Based Anonymization, Distributed Privacy-Preserving Data Mining and k-Anonymous Data Mining discussed. The performance of classification accuracy and the computational time of various data mining algorithms with and without anonymized datasets and also model ranking algorithms are discussed. This book explores the possibility of using fuzzy logic for anonymization of data. The anonymization achieved is evaluated for classification accuracy using data mining algorithms. The state-of-the-art methods for privacy-preserving evolutionary algorithms (EAs) are discussed. A Hybrid Evolutionary Algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are discussed. 128 pp. Englisch. Seller Inventory # 9783659542626
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Privacy Preserving Data Mining using Optimization Methods
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mandapati SridharSridhar Mandapati obtained his Ph.D (Computer Science and Engineering) from Acharya Nagarjuna University, Guntur and Master of Computer Applications from S.V University, Tirupathi. He is currently working as Associat. Seller Inventory # 5163599
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Privacy Preserving Data Mining Using Optimization Methods
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Privacy Preserving Data Mining using Optimization Methods
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -PPDM using optimization methods brings you up-to-date with various PPDM Algorithms, Randomization Method, Group Based Anonymization, Distributed Privacy-Preserving Data Mining and k-Anonymous Data Mining discussed. The performance of classification accuracy and the computational time of various data mining algorithms with and without anonymized datasets and also model ranking algorithms are discussed. This book explores the possibility of using fuzzy logic for anonymization of data. The anonymization achieved is evaluated for classification accuracy using data mining algorithms. The state-of-the-art methods for privacy-preserving evolutionary algorithms (EAs) are discussed. A Hybrid Evolutionary Algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are discussed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9783659542626
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Privacy Preserving Data Mining using Optimization Methods
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Taschenbuch. Condition: Neu. Privacy Preserving Data Mining using Optimization Methods | Sridhar Mandapati | Taschenbuch | 128 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659542626 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 105197560
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Privacy Preserving Data Mining using Optimization Methods
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - PPDM using optimization methods brings you up-to-date with various PPDM Algorithms, Randomization Method, Group Based Anonymization, Distributed Privacy-Preserving Data Mining and k-Anonymous Data Mining discussed. The performance of classification accuracy and the computational time of various data mining algorithms with and without anonymized datasets and also model ranking algorithms are discussed. This book explores the possibility of using fuzzy logic for anonymization of data. The anonymization achieved is evaluated for classification accuracy using data mining algorithms. The state-of-the-art methods for privacy-preserving evolutionary algorithms (EAs) are discussed. A Hybrid Evolutionary Algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are discussed. Seller Inventory # 9783659542626