Practical selectivity estimation through adaptive sampling
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Toward quality data: an attribute-based approach
Decision Support Systems - Special issue on information technologies and systems
Communications of the ACM
Data quality and systems theory
Communications of the ACM
The impact of poor data quality on the typical enterprise
Communications of the ACM
Wavelet-based histograms for selectivity estimation
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Not all answers are equally good: estimating the quality of database answers
Flexible query answering systems
Enhancing data quality in data warehouse environments
Communications of the ACM
Query size estimation by adaptive sampling (extended abstract)
PODS '90 Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Selectivity estimation using probabilistic models
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A Hybrid Estimator for Selectivity Estimation
IEEE Transactions on Knowledge and Data Engineering
Generalized Normal Forms for Probabilistic Relational Data
IEEE Transactions on Knowledge and Data Engineering
Selectivity Estimation Without the Attribute Value Independence Assumption
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Exploratory Data Mining and Data Cleaning
Exploratory Data Mining and Data Cleaning
Record Matching in Data Warehouses: A Decision Model for Data Consolidation
Operations Research
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
A Framework for Reconciling Attribute Values from Multiple Data Sources
Management Science
Inventory Record Inaccuracy: An Empirical Analysis
Management Science
Impact of the Union and Difference Operations on the Quality of Information Products
Information Systems Research
Methodologies for data quality assessment and improvement
ACM Computing Surveys (CSUR)
Designing adaptive feedback for improving data entry accuracy
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Reassessing Data Quality for Information Products
Management Science
The Practitioner's Guide to Data Quality Improvement
The Practitioner's Guide to Data Quality Improvement
A New Approach for Solving Nonlinear Equations Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Managing Data Quality Risk in Accounting Information Systems
Information Systems Research
A Mathematical Framework for Data Quality Management in Enterprise Systems
INFORMS Journal on Computing
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Information systems play a very important role in managerial decision making within modern organizations. While making different types of decisions at operational, tactical, and strategic levels, managers are increasingly relying on information gleaned from various databases, data warehouses, and data streams feeding them. The quality of organizational decisions, therefore, often depends on the quality of the information derived from these databases and data streams, and a manager is able to make better use of the information if she also understands the quality level of that information. Previous research has examined how the quality level of a database query output can be estimated based on the quality level of the input data. In this research, we generalize this stream of research and allow a query to have general selection conditions involving multiple attributes with any combination of conjunction or disjunction of subconditions that may include functions of multiple attributes. Results of this research can easily be implemented in real-world decision contexts.