Communications of the ACM
Enhancing data quality in data warehouse environments
Communications of the ACM
Data Quality
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Lineage Tracing for General Data Warehouse Transformations
Proceedings of the 27th International Conference on Very Large Data Bases
Large-Sample and Deterministic Confidence Intervals for Online Aggregation
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Aurora: a data stream management system
Proceedings of the 2003 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
Window-aware load shedding for aggregation queries over data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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
Efficient Reservoir Sampling for Transactional Data Streams
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Adaptive-Size Reservoir Sampling over Data Streams
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Representing Data Quality for Streaming and Static Data
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Assessing the completeness of sensor data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Quality-driven human-centered approach for service provisioning in ambient environment
HCC '08 Proceedings of the 3rd ACM international workshop on Human-centered computing
Representing Data Quality in Sensor Data Streaming Environments
Journal of Data and Information Quality (JDIQ)
Modeling the information completeness of object tracking systems
The Journal of Strategic Information Systems
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Sensors are increasingly embedded into physical products in order to capture data about their conditions and usage for decision making in business applications. However, a major issue for such applications is the limited quality of the captured data due to inherently restricted precision and performance of the sensors. Moreover, the data quality is further decreased by data processing to meet resource constraints in streaming environments and ultimately influences business decisions. The issue of how to efficiently provide applications with information about data quality (DQ) is still an open research problem. In my Ph.D. thesis, I address this problem by developing a system to provide business applications with accurate information on data quality. Furthermore, the system will be able to incorporate and guarantee user-defined data quality levels. In this paper, I will present the major results from my research so far. This includes a novel jumping-window-based approach for the efficient transfer of data quality information as well as a flexible metamodel for storage and propagation of data quality. The comprehensive analysis of common data processing operators w.r.t. their impact on data quality allows a fruitful knowledge evaluation and thus diminishes incorrect business decisions.