| 2009 | ||
|---|---|---|
| c9 | Ping Liang, John F. Roddick, Aaron Ceglar, Anna Shillabeer, Denise de Vries: Discovering Itemset Interactions. ACSC 2009: 121-128 | |
| r1 | Kirsten Wahlstrom, John F. Roddick, Rick Sarre, Vladimir Estivill-Castro, Denise de Vries: Legal and Technical Issues of Privacy Preservation in Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1158-1163 | |
| 2008 | ||
| j2 | Somluck La-Ongsri, John F. Roddick, Denise de Vries: Accommodating mesodata into conceptual modelling methodologies. Information & Software Technology 50(5): 424-435 (2008) | |
| 2007 | ||
| j1 | Denise de Vries, John F. Roddick: The case for mesodata: An empirical investigation of an evolving database system. Information & Software Technology 49(9-10): 1061-1072 (2007) | |
| c8 | John F. Roddick, Aaron Ceglar, Denise de Vries: Towards Active Conceptual Modelling for Sudden Events. ER (Tutorials, Posters, Panels & Industrial Contributions) 2007: 203-208 | |
| 2006 | ||
| c7 | Sally Rice, John F. Roddick, Denise de Vries: Defining and implementing domains with multiple types using mesodata modelling techniques. APCCM 2006: 85-93 | |
| c6 | Carl Mooney, Denise de Vries, John F. Roddick: A Multi-level Framework for the Analysis of Sequential Data. Selected Papers from AusDM 2006: 229-243 | |
| c5 | John F. Roddick, Aaron Ceglar, Denise de Vries, Somluck La-Ongsri: Postponing Schema Definition: Low Instance-to-Entity Ratio ( LItER ) Modelling. Active Conceptual Modeling of Learning 2006: 206-216 | |
| c4 | John F. Roddick, Denise de Vries: Reduce, Reuse, Recycle: Practical Approaches to Schema Integration, Evolution and Versioning. ER (Workshops) 2006: 209-216 | |
| 2004 | ||
| c3 | Denise de Vries, Sally Rice, John F. Roddick: In Support of Mesodata in Database Management Systems. DEXA 2004: 663-674 | |
| c2 | Denise de Vries, John F. Roddick: Facilitating Database Attribute Domain Evolution Using Mesodata. ER (Workshops) 2004: 429-440 | |
| 2003 | ||
| c1 | John F. Roddick, Kathleen Hornsby, Denise de Vries: A Unifying Semantic Distance Model for Determining the Similarity of Attribute Values. ACSC 2003: 111-118 | |
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