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Exploratory Data Mining and Data Cleaning

Exploratory Data Mining and Data Cleaning

No customer reviews yet ISBN 9780471268512 Wiley-Interscience

  • 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.

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Product details

BrandWiley-Interscience
Pub dateJun 10, 2003
ISBN-100471268518
ISBN-139780471268512
LanguageEnglish
Dimensions9.65 × 0.84 × 6.38 in
Weight1 lb
Last updated 2026-03-19 08:19
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