Exploratory Data Mining and Data Cleaning

Name: Exploratory Data Mining and Data Cleaning
SKU: 2099895
Price: 256.99 AUD
Availability: InStock

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Format:

Hardback

Series:

Wiley Series in Probability and Statistics

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$256.99

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Description

Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tools and algorithms. Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of domain knowledge. Addresses methods of detecting, quantifying and correcting data quality issues that can have a significant impact on findings and decisions, using commercially available tools as well as new algorithmic approaches. Uses case studies to illustrate applications in real life scenarios. Highlights new approaches and methodologies, such as the DataSphere space partitioning and summary based analysis techniques. Exploratory Data Mining and Data Cleaning will serve as an important reference for serious data analysts who need to analyze large amounts of unfamiliar data, managers of operations databases, and students in undergraduate or graduate level courses dealing with large scale data analys is and data mining.

Author Biography:

TAMRAPARNI DASU, PhD, and THEODORE JOHNSON, PhD, are both members of the technical staff at AT&T Labs-Research in Florham Park, New Jersey.

Release date Australia

June 10th, 2003

Author

Series

Wiley Series in Probability and Statistics

Pages

224

Audience

Professional & Vocational

Illustrations

Charts: 14 B&W, 0 Color; Tables: 2 B&W, 0 Color; Graphs: 38 B&W, 0 Color

Dimensions

162x245x21

ISBN-13

9780471268512

Product ID

2099895

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