Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Exploratory Data Mining and Data Cleaning

Exploratory Data Mining and Data Cleaning

Johnson
Dasu

Hardcover

Series: Wiley Probability and Statistics

General ComputersNetworking

ISBN10: 0471268518
ISBN13: 9780471268512
Publisher: John Wiley & Sons
Published: May 15 2003
Pages: 224
Weight: 1.12
Height: 0.80 Width: 6.50 Depth: 9.54
Language: English
  • 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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