Quality Prediction using Machine Learning Technique(MLT). Predicting the Quality of Object-oriented Multidimensional model of Data Warehouse using Fuzzy Logic and Decision Tree

      Аннотация: 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.

Ключевые слова: Data Warehouse, Metrics, Quality, fuzzy logic, fuzzy sets, Decision Tree, Information Quality, machine learning technique, object -oriented model, model metrics, cofusuion metrics, weka tool, Fuzzy Model, qualty characterictics