Foundations of data quality management /
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
[2012]
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| Series: | Synthesis lectures on data management ;
#30. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book Connect to the full text of this electronic book |
Table of Contents:
- 1. Data quality: an overview
- 1.1 Data quality management
- 1.2 Central issues of data quality
- 1.2.1 Data consistency
- 1.2.2 Data deduplication
- 1.2.3 Data accuracy
- 1.2.4 Information completeness
- 1.2.5 Data currency
- 1.2.6 Interactions between data quality issues
- 1.3 Improving data quality using rules
- 1.4 Background
- Bibliographic notes
- 2. Conditional dependencies
- 2.1 Conditional dependencies
- 2.1.1 Conditional functional dependencies
- 2.1.2 Conditional inclusion dependencies
- 2.2 Static analyses of conditional dependencies
- 2.2.1 Satisfiability
- 2.2.2 Implication
- 2.2.3 Finite axiomatizability
- 2.2.4 Dependency propagation
- Bibliographic notes
- 3. Cleaning data with conditional dependencies
- 3.1 Discovering conditional dependencies
- 3.1.1 The CFD discovery problem
- 3.1.2 Discovering constant CFDs
- 3.1.3 Discovering general CFDs
- 3.2 Error detection
- 3.2.1 Checking a single CFD with SQL
- 3.2.2 Validating multiple CFDs
- 3.3 Data repairing
- 3.3.1 The data repairing problem
- 3.3.2 Repairing violations of CFDs and CINDs
- Bibliographic notes
- 4. Data deduplication
- 4.1 Data deduplication: an overview
- 4.2 Matching dependencies
- 4.3 Reasoning about matching dependencies
- 4.4 Relative keys for record matching
- 4.5 Matching dependencies for data repairing
- Bibliographic notes
- 5. Information completeness
- 5.1 Relative information completeness
- 5.1.1 Partially closed databases
- 5.1.2 A model for relative information completeness
- 5.1.3 Relative completeness and data consistency
- 5.2 Determining relative completeness
- 5.3 Representation systems for possible worlds
- 5.4 Capturing missing tuples and missing values
- 5.5 The complexity of fundamental problems
- Bibliographic notes
- 6. Data currency
- 6.1 Data currency: an overview
- 6.2 A data currency model
- 6.3 Reasoning about data currency
- 6.4 Incorporating copy functions
- 6.4.1 The data currency model revisited
- 6.4.2 Currency preserving copy functions
- 6.5 Determining currency preservation
- Bibliographic notes
- 7. Interactions between data quality issues
- 7.1 Finding certain fixes
- 7.1.1 Certain fixes: an introduction
- 7.1.2 Editing rules
- 7.1.3 Certain fixes and certain regions
- 7.1.4 A framework for finding certain fixes
- 7.1.5 Fundamental problems for certain fixes
- 7.2 Unifying data repairing and record matching
- 7.2.1 Interaction of CFDs and MDs: an introduction
- 7.2.2 The data cleaning problem and cleaning rules
- 7.2.3 A framework for data cleaning
- 7.2.4 Static analyses of data cleaning with CFDs and MDs
- 7.3 Resolving conflicts
- 7.3.1 Conflict resolution: an overview
- 7.3.2 A model for conflict resolution
- 7.3.3 A framework for conflict resolution
- 7.3.4 Fundamental problems for conflict resolution
- 7.4 Putting things together
- Bibliographic notes
- List of symbols
- Bibliography
- Authors' biographies.