Data Quality in Practices

This is the first book to be published on the topic of data quality exploration, analytics, and quantitative data cleaning—providing a sound technical grounding in the subject. It shows readers, through examples and practical case studies, how to apply statistics and data mining techniques to their own data quality issues; presents an overview of data quality analytics and techniques for data quality improvement; and gives an iterative framework for the detection, explanation, and quantitative cleaning of data quality problems and anomalies.

Preface

Contents

Introduction

Part I – Principles and Theoretical Background

Part II - Practices

Part III – Supplementary Materials

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.