Can I read Exploratory Data Mining and Data Cleaning on EtoBox?

Exploratory Data Mining and Data Cleaning by Tamraparni Dasu, Theodore Johnson is a nonfiction available to read on EtoBox.

What is Exploratory Data Mining and Data Cleaning about?

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.

Who reads Exploratory Data Mining and Data Cleaning?

Author

Tamraparni Dasu, Theodore Johnson

Publisher

Wiley-Interscience

Published

2003

Language

EN

ISBN

9786610366255

Category

nonfiction

Subjects

Mathematics, Computer Science, Stem