Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Supporting data quality management in decision-making
Decision Support Systems
Data quality awareness: a case study for cost optimal association rule mining
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
Utility-driven assessment of data quality
ACM SIGMIS Database
Economics-Driven Data Management: An Application to the Design of Tabular Data Sets
IEEE Transactions on Knowledge and Data Engineering
Data mining research for customer relationship management systems: a framework and analysis
International Journal of Business Information Systems
Measuring information volatility in a health care information supply chain
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Measuring and Comparing Effectiveness of Data Quality Techniques
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Dual Assessment of Data Quality in Customer Databases
Journal of Data and Information Quality (JDIQ)
Evaluating a model for cost-effective data quality management in a real-world CRM setting
Decision Support Systems
Dependency discovery in data quality
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
The Effects and Interactions of Data Quality and Problem Complexity on Classification
Journal of Data and Information Quality (JDIQ)
Capturing data quality requirements for web applications by means of DQ_WebRE
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
Modeling the information completeness of object tracking systems
The Journal of Strategic Information Systems
Design of an information volatility measure for health care decision making
Decision Support Systems
Validating cluster structures in data mining tasks
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Normal accidents: Data quality problems in ERP-enabled manufacturing
Journal of Data and Information Quality (JDIQ)
Capturing data quality requirements for web applications by means of DQ_WebRE
Information Systems Frontiers
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Decision makers often confront the issue of whether to utilize information based on incomplete but consistent data or instead rely on complete but less consistent data. For a given decision context, this paper introduces a framework that permits the systematic exploration of this tradeoff between the completeness and consistency of data. The relative weight (importance) of completeness and consistency to the decision maker is an integral component of the approach. To examine the tradeoff, the paper explores in detail various facets of these data quality dimensions. These, in turn, lead to expressions for the measurement of completeness and consistency. The utility of various combinations of completeness and consistency for fixed and variable budgets provides guidance as to the appropriate tradeoff of these factors for specific decision contexts.