Data Quality in Practices

1. Auflage 2013
ISBN: 978-1-84821-570-2
Verlag: ISTE Ltd and John Wiley & Sons Inc

Buch, Englisch, 192 Seiten, Format (B × H): 150 mm x 250 mm, Gewicht: 674 g

This is the first book to be published on the topic of data quality exploration, analytics and quantitative data cleaning. The author provides a sound technical grounding in the subject and shows readers, through examples and practical case studies, how to apply statistics and data mining techniques to their own data quality issues.
An overview of data quality analytics and techniques for data quality improvement is provided, and the author also present an iterative framework for the detection, explanation and quantitative cleaning of data quality problems and anomalies. The book then goes on to describe the methods for data quality measuring, monitoring and improvement and explains how readers can identify the best strategies for cleaning their data and for automating the process of data quality exploration and remediation.

Autoren/Hrsg.

Berti-Equille, Laure

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Preface

Contents

Introduction

Part I - Principles and Theoretical Background

Part II - Practices

Part III - Supplementary Materials

Über Autor(innen)

Laure Berti-Équille is currently a Director of Research (DR2) in Computer Science at IRD (Institut de Recherche pour le Développement), the French Institute of Research for Development. Aix en provence, France.