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Data and Information Quality (JDIQ)

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Journal of Data and Information Quality (JDIQ), Volume 1 Issue 2, September 2009

Editorial Letter for the Special Issue on Data Quality in Databases and Information Systems
Stuart E. Madnick, Yang W. Lee
Article No.: 6
DOI: 10.1145/1577840.1577841

Guest Editorial for the Special Issue on Data Quality in Databases
Felix Naumann, Louiqa Raschid
Article No.: 7
DOI: 10.1145/1577840.1577842

Mining in Large Noisy Domains
Manoranjan Dash, Ayush Singhania
Article No.: 8
DOI: 10.1145/1577840.1577843

In this article we address the issue of how to mine efficiently in large and noisy data. We propose an efficient sampling algorithm (Concise) as a solution for large and noisy data. Concise is far more superior than the Simple Random...

Optimal Stopping: A Record-Linkage Approach
George V. Moustakides, Vassilios S. Verykios
Article No.: 9
DOI: 10.1145/1577840.1577844

Record-linkage is the process of identifying whether two separate records refer to the same real-world entity when some elements of the record’s identifying information (attributes) agree and others disagree. Existing record-linkage decision...

Representing Data Quality in Sensor Data Streaming Environments
A. Klein, W. Lehner
Article No.: 10
DOI: 10.1145/1577840.1577845

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...

Incorporating Domain-Specific Information Quality Constraints into Database Queries
Suzanne M. Embury, Paolo Missier, Sandra Sampaio, R. Mark Greenwood, Alun D. Preece
Article No.: 11
DOI: 10.1145/1577840.1577846

The range of information now available in queryable repositories opens up a host of possibilities for new and valuable forms of data analysis. Database query languages such as SQL and XQuery offer a concise and high-level means by which such...

Call for Papers Special Issue on Healthcare Information Quality: the Challenges and Opportunities in Healthcare Systems and Services
Stuart E. Madnick, Yang W. Lee
Article No.: 12
DOI: 10.1145/1577840.1577847