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ORCIDJournal of Data and Information Quality, Volume 5
Volume 5, Numbers 1-2, August 2014
- Felix Naumann
:
Editorial. 1:1
- John R. Talburt, Therese L. Williams, Thomas C. Redman, David K. Becker:
Information quality research challenge: Predicting and quantifying the impact of social issues on information quality programs. 2:1-2:3 - Erhard Rahm:
Discovering product counterfeits in online shops: A big data integration challenge. 3:1-3:3 - Peter Christen, Dinusha Vatsalan, Vassilios S. Verykios:
Challenges for privacy preservation in data integration. 4:1-4:3
- Tobias Vogel, Arvid Heise, Uwe Draisbach, Dustin Lange, Felix Naumann:
Reach for gold: An annealing standard to evaluate duplicate detection results. 5:1-5:25 - Wenfei Fan, Floris Geerts, Nan Tang, Wenyuan Yu:
Conflict resolution with data currency and consistency. 6:1-6:37 - Paul Glowalla, Ali Sunyaev:
Process-driven data quality management: A critical review on the application of process modeling languages. 7:1-7:30
Volume 5, Number 3, February 2015
- Paolo Missier, Paolo Papotti:
Editorial. 8:1-8:4 - You-Wei Cheah, Beth Plale:
Provenance Quality Assessment Methodology and Framework. 9:1-9:20 - Melanie Herschel:
A Hybrid Approach to Answering Why-Not Questions on Relational Query Results. 10:1-10:29 - Stephen Chong, Christian Skalka, Jeffrey A. Vaughan:
Self-Identifying Data for Fair Use. 11:1-11:30 - Chris Colin Baillie, Peter Edwards, Edoardo Pignotti:
QUAL: A Provenance-Aware Quality Model. 12:1-12:22
Volume 5, Number 4, February 2015
- Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
A Model-Based Approach for Developing Data Cleansing Solutions. 13:1-13:28 - Hongjiang Xu:
What Are the Most Important Factors for Accounting Information Quality and Their Impact on AIS Data Quality Outcomes? 14:1-14:22
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