Exploratory Data Mining and Data Cleaning
Written for practitioners of data mining, data cleaning and database management. Get and download textbook Exploratory Data Mining and Data Cleaning for free
author tamraparni dasu author theodore johnson format hardback language english publication year 10 06 2003 series wiley series in probability and statistics subject computing it subject 2 computing professional programming title exploratory data mining and data cleaning author tamraparni dasu theodore johnson publisher wiley interscience publication date may 01 2003 pages 203 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 0471268518 subject computers 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 Exploratory Data Mining and Data Cleaning new edition
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Exploratory Data Mining and Data Cleaning: Tamraparni Dasu, Theodore Johnson
-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 developPrefaceI. EXPLORATORY DATA MINING AND DATA CLEANING : AN OVERVIEW :1. Introduction2. Cautionary Tales3. Taming the Data4. Challenges5. Methods6. EDM : i. EDM Summaries - Parametric
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 tamraparni dasu author theodore johnson format hardback language english publication year 10 06 2003 series wiley series in probability and statistics subject computing it subject 2 computing professional programming title exploratory data mining and data cleaning author tamraparni dasu theodore johnson publisher wiley interscience publication date may 01 2003 pages 203 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 0471268518 subject computers database management
Exploratory Data Mining and Data Cleaning Textbook
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
Exploratory Data Mining and Data Cleaning will