Quality Prediction using Machine Learning Technique(MLT)

Name: Quality Prediction using Machine Learning Technique(MLT)
Brand: LAP Lambert Academic Publishing
SKU: 9783659249105
Price: 51.03 EUR
Availability: InStock

Predicting the Quality of Object-oriented Multidimensional model of Data Warehouse using Fuzzy Logic and Decision Tree

Автор: Kunwar Babar Ali

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Налично при издателя, по поръчка

Изпращаме след 17-27 дни

51.03 € 99.81 лв

This book will serve the undergraduate,postgraduate research scholars who are working in the field o...

Информация за книгата

Автор

Kunwar Babar Ali

Език

Английски език

Корици

Книга - С меки корици

Издадена

2012

страници

EAN

9783659249105

Enbook ID

06858301

Издател

LAP Lambert Academic Publishing

Теглоt

130

Размери

150 x 220 x 5

Пълно описание

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.

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Quality Prediction using Machine Learning Technique(MLT)

Predicting the Quality of Object-oriented Multidimensional model of Data Warehouse using Fuzzy Logic and Decision Tree

Информация за книгата

Пълно описание

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