Coverart for item
The Resource Data Cleaning, Ihab F. Ilyas, Xu Chu

Data Cleaning, Ihab F. Ilyas, Xu Chu

Label
Data Cleaning
Title
Data Cleaning
Statement of responsibility
Ihab F. Ilyas, Xu Chu
Creator
Contributor
Author
Subject
Language
eng
Summary
Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors in the data. Rather than focus on a particular data cleaning task, we give an overview of the endto- end data cleaning process, describing various error detection and repair methods, and attempt to anchor these proposals with multiple taxonomies and views. Specifically, we cover four of the most common and important data cleaning tasks, namely, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore, due to the increasing popularity and applicability of machine learning techniques, we include a chapter that specifically explores how machine learning techniques are used for data cleaning, and how data cleaning is used to improve machine learning models. This book is intended to serve as a useful reference for researchers and practitioners who are interested in the area of data quality and data cleaning. It can also be used as a textbook for a graduate course. Although we aim at covering state-of-the-art algorithms and techniques, we recognize that data cleaning is still an active field of research and therefore provide future directions of research whenever appropriate.--
Member of
Assigning source
provided by publisher
http://library.link/vocab/creatorName
Ilyas, Ihab F
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Chu, Xu
Series statement
ACM Books
Series volume
#28
http://library.link/vocab/subjectName
  • Database management
  • Electronic data processing
  • Data editing
Label
Data Cleaning, Ihab F. Ilyas, Xu Chu
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction: Data Cleaning Workflow -- Book Scope 4 -- Outlier Detection: A Taxonomy of Outlier Detection Methods -- Statistics-Based Outlier Detection -- Distance-Based Outlier Detection --- Model-Based Outlier Detection -- Outlier Detection in High-Dimensional Data -- Conclusion -- Data Deduplication: Similarity Metrics -- Predicting Duplicate Pairs -- Clustering -- Blocking for Deduplication -- Distributed Data Deduplication -- Record Fusion and Entity Consolidation -- Human-Involved Data Deduplication -- Data Deduplication Tools -- Conclusion -- Data Transformation: Syntactic Data Transformations -- Semantic Data Transformations -- ETL Tools -- Conclusion -- Data Quality Rule Definition and Discovery: Functional Dependencies -- Conditional Functional Dependencies -- Denial Constraints -- Other Types of Constraints -- Conclusion --Rule-Based Data Cleaning: Violation Detection -- Error Repair -- Conclusion --Machine Learning and Probabilistic Data Cleaning: Machine Learning for Data Deduplication -- Machine Learning for Data Repair -- Data Cleaning for Analytics and Machine Learning --Conclusion and Future Thoughts
Control code
on1107445037
Dimensions
24 cm.
Edition
First edition.
Extent
xix, 260 pages
Isbn
9781450371520
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)1107445037
Label
Data Cleaning, Ihab F. Ilyas, Xu Chu
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction: Data Cleaning Workflow -- Book Scope 4 -- Outlier Detection: A Taxonomy of Outlier Detection Methods -- Statistics-Based Outlier Detection -- Distance-Based Outlier Detection --- Model-Based Outlier Detection -- Outlier Detection in High-Dimensional Data -- Conclusion -- Data Deduplication: Similarity Metrics -- Predicting Duplicate Pairs -- Clustering -- Blocking for Deduplication -- Distributed Data Deduplication -- Record Fusion and Entity Consolidation -- Human-Involved Data Deduplication -- Data Deduplication Tools -- Conclusion -- Data Transformation: Syntactic Data Transformations -- Semantic Data Transformations -- ETL Tools -- Conclusion -- Data Quality Rule Definition and Discovery: Functional Dependencies -- Conditional Functional Dependencies -- Denial Constraints -- Other Types of Constraints -- Conclusion --Rule-Based Data Cleaning: Violation Detection -- Error Repair -- Conclusion --Machine Learning and Probabilistic Data Cleaning: Machine Learning for Data Deduplication -- Machine Learning for Data Repair -- Data Cleaning for Analytics and Machine Learning --Conclusion and Future Thoughts
Control code
on1107445037
Dimensions
24 cm.
Edition
First edition.
Extent
xix, 260 pages
Isbn
9781450371520
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)1107445037

Library Locations

    • Badia FiesolanaBorrow it
      Via dei Roccettini 9, San Domenico di Fiesole, 50014, IT
      43.803074 11.283055
Processing Feedback ...