Ali kunwar babar (3 resultados)
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Quality Prediction using Machine Learning Technique(MLT) | Predicting the Quality of Object-oriented Multidimensional model of Data Warehouse using Fuzzy Logic and Decision Tree | Kunwar Babar Ali | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659249105 | Verantwortliche Person…für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Librería: moluna, Greven, , Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali Kunwar BabarKunwar Babar Ali working as an Assistant Professor in the dept of CSE at SVCE,Alwar.He obtained his M.Tech degree from USIT,GGSIPU, New Delhi.He has more than 4 years teaching experience… .He has published more than 5 .
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 49,59
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book will serve the undergraduate,postgraduate research scholars who are working in the field of Machine Learning Techniques.This book can be used as a text book to understand the concept and working of Fuzzy logic and Decision Tree… Techniques.Its clarity of presentation ,careful development of fuzzy logic rules and their implementation on MATLAB and decision tree rules and their implementation using WEKA, won't disappoints readers who are looking for real work with Machine Learning Techniques.Some features of this book are: Detailed description about the data quality and information quality and its attributes Detail explanation about the Relationship between quality attribute and Machine Learning Technique(MLT) Detail explanation of Quality prediction using Fuzzy logic Includes all 81 rules of fuzzy logic to predict the quality Detail explanation of WEKA results with confusion matrix It contains all the results produced by the fuzzy logic and decision tree in this research.
