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Exploratory Data Mining and Data Cleaning

Tamraparni Dasu, Theodore Johnson




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 | #1376472 in Books |  2003-05-09 | Original language:English | PDF # 1 |  9.65 x.84 x6.38l,1.12 | File type: PDF | 224 pages

||5 of 6 people found the following review helpful.| Terrific intro to the issues|By Just a Customer|This is the best deep and practical introduction to data cleaning that I have seen. It provides an excellent overview of the practical problems in data cleaning, gives a good intuitive feeling for the core issues of outliers and robust statistics, and overviews of a good set of techniques for addressing data cleaning issues in a| |"Statisticians not conversant with today's statistical take on DQ should read this book…and be stimulated to do important research in DQ." (Journal of the American Statistical Association, March 2006) |"…uniquely integrates several approa

  • 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 a...

    You easily download any file type for your device.Exploratory Data Mining and Data Cleaning   |  Tamraparni Dasu, Theodore Johnson. I was recommended this book by a dear friend of mine.

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