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Exploratory Data Mining and Data Cleaning
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Exploratory Data Mining and Data Cleaning
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
You might enjoy this book if you're keen on enhancing your skills in computational methods for cleaning and analysing complex data. It offers practical techniques and insights into solving data quality issues, which can be highly valuable for data scientists, analysts, or anyone involved in large-scale data projects. Perfect for those who appreciate a blend of theoretical concepts with actionable solutions.
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See moreMany current books on data mining and analysis focus on the last stage of the analysis process (getting the results) and spend little time on the data exploration and data cleaning processes. The true challenge in data mining is creating a set that contains relevant and accurate information and determining the appropriate analysis techniques.
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Description
Exploratory Data Mining and Data Cleaning is written for practitioners of data mining, data cleaning, and database management. The book presents a technical treatment of data quality, including process, metrics, tools, and algorithms.
Focusing on developing an evolving modelling strategy through an iterative data exploration loop and incorporation of domain knowledge, the book addresses methods of detecting, quantifying, and correcting data quality issues that can significantly impact findings and decisions. It explores the use of commercially available tools alongside new algorithmic approaches.
Case studies are utilised to illustrate applications in real-life scenarios. The book also 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 analyse large amounts of unfamiliar data, managers of operations databases, and students in undergraduate or graduate level courses dealing with large-scale data analysis and data mining.
Series: Wiley Series in Probability and Statistics
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Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Exploratory Data Mining and Data Cleaning by Tamraparni Dasu and Theodore Johnson is praised for incorporating multiple methods for data exploration and cleaning. Reviewers highlight its value for statisticians and data analysts seeking an integrated approach to improve data quality and conduct significant research in the field.
Book Details
INFORMATION
ISBN: 9780471268512
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 10 June 2003
Country: United States
Imprint: Wiley-Interscience
Illustration: Charts: 14 B&W, 0 Color; Tables: 2 B&W, 0 Color; Graphs: 38 B&W, 0 Color
Audience: Professional and scholarly
DIMENSIONS
Spine width: 21.0mm
Width: 162.0mm
Height: 245.0mm
Weight: 515g
Pages: 224
About the Author
TAMRAPARNI DASU, PhD, and THEODORE JOHNSON, PhD, are both members of the technical staff at AT&T Labs-Research in Florham Park, New Jersey.
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