Anchoring data quality dimensions in ontological foundations
Communications of the ACM
Communications of the ACM
Data quality and systems theory
Communications of the ACM
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
Large-Sample and Deterministic Confidence Intervals for Online Aggregation
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
PIPES: a public infrastructure for processing and exploring streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
OLAP over uncertain and imprecise data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Source-aware join strategies of sensor data streams
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Efficient stream sequence matching algorithms for handheld devices on time-series stream data
DBA'06 Proceedings of the 24th IASTED international conference on Database and applications
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Adaptive-Size Reservoir Sampling over Data Streams
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Incorporating quality aspects in sensor data streams
Proceedings of the ACM first Ph.D. workshop in CIKM
Representing Data Quality for Streaming and Static Data
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Annotations: dynamic semantics in stream processing
PIKM '10 Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management
Modeling the information completeness of object tracking systems
The Journal of Strategic Information Systems
Business-management-inspired sensor data fusion
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Data and Information Quality Issues in Ambient Assisted Living Systems
Journal of Data and Information Quality (JDIQ)
Discover and visualize association rules from sensor observations on the web
The Journal of Supercomputing
The GINSENG system for wireless monitoring and control: Design and deployment experiences
ACM Transactions on Sensor Networks (TOSN)
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Sensors in smart-item environments capture data about product conditions and usage to support business decisions as well as production automation processes. A challenging issue in this application area is the restricted quality of sensor data due to limited sensor precision and sensor failures. Moreover, data stream processing to meet resource constraints in streaming environments introduces additional noise and decreases the data quality. In order to avoid wrong business decisions due to dirty data, quality characteristics have to be captured, processed, and provided to the respective business task. However, the issue of how to efficiently provide applications with information about data quality is still an open research problem. In this article, we address this problem by presenting a flexible model for the propagation and processing of data quality. The comprehensive analysis of common data stream processing operators and their impact on data quality allows a fruitful data evaluation and diminishes incorrect business decisions. Further, we propose the data quality model control to adapt the data quality granularity to the data stream interestingness.