Data Cleaning : Ihab F. Ilyas, Xu Chu

Format:

Book

Author/Creator:

Ilyas, Ihab F., author.

Series:

ACM books - Collection 2 ; #28.

ACM books, 2374-6777 ; #28

Language:

English

Subjects (All):

Data Cleaning (Computer Science).

Genre:

Electronic books.

Physical Description:

1 online resource (xx, 262 pages) illustrations.

Edition:

First Edition

Place of Publication:

[New York, NY, USA] : Association for Computing Machinery; [2019].

System Details:

Mode of access: World Wide Web

System requirements: Adobe Acrobat Reader

Contents:

Preface

1 Introduction

1.1 Data Cleaning Workflow

1.2 Book Scope

2 Outlier Detection

2.1 A Taxonomy of Outlier Detection Methods

2.2 Statistics-Based Outlier Detection

2.3 Distance-Based Outlier Detection

2.4 Model-Based Outlier Detection

2.5 Outlier Detection in High-Dimensional Data

2.6 Conclusion

3 Data Deduplication

3.1 Similarity Metrics

3.2 Predicting Duplicate Pairs

3.3 Clustering

3.4 Blocking for Deduplication

3.5 Distributed Data Deduplication

3.6 Record Fusion and Entity Consolidation

3.7 Human-Involved Data Deduplication

3.8 Data Deduplication Tools

3.9 Conclusion

4 Data Transformation

4.1 Syntactic Data Transformations

4.2 Semantic Data Transformations

4.3 ETL Tools

4.4 Conclusion

5 Data Quality Rule Definition and Discovery

5.1 Functional Dependencies

5.2 Conditional Functional Dependencies

5.3 Denial Constraints

5.4 Other Types of Constraints

5.5 Conclusion

6 Rule-Based Data Cleaning

6.1 Violation Detection

6.2 Error Repair

6.3 Conclusion

7 Machine Learning and Probabilistic Data Cleaning

7.1 Machine Learning for Data Deduplication

7.2 Machine Learning for Data Repair

7.3 Data Cleaning for Analytics and Machine Learning

8 Conclusion and Future Thoughts

References

Index

Author Biographies

Other Format:

Print version:

ISBN:

3310205

9781450371551

9781450371544

Access Restriction:

Restricted for use by site license.