

| Position/s: | Lecturer School of Computer Science, Engineering and Mathematics |
| Seminar Co-ordinator School of Computer Science, Engineering and Mathematics | |
| Phone: | +61 8 82013639 |
| Email: | denise.devries@flinders.edu.au |
| Location: | Information, Science & Technology (356) |
| Postal address: | GPO Box 2100, Adelaide 5001, South Australia |
Dr Denise de Vries has, since the early 1980s, developed commercial complex database systems for a variety of industry domains including local government, airline, public libraries, para-medical, diet and nutrition, commercial cleaning, automotive parts manufacturing, building and construction, inventory control, conference organisation and commercial photography.
Based on this industry experience she researches techniques to preserve digital history and data semantics including techniques to deal with changes to information in a database such as structural change, semantic change and constraint change.
PhD Flinders University
BSc(Hons) Flinders University
BCompInfSc University of South Australia
CRCAH Grant
Building workforce capacity to address complex health, housing and social inclusion issues through critical systems thinking and practice.
Teaching & Learning Innovation Grant
Embedding Indigenous Science, Mathematics and Engineering into CSEM topics.
eResearch Summer Scholarship Program
Our Digital Heritage: Preserving early Australasian software
Local Government Research and Development Scheme
Development of Participatory Decision Making Software
Knowledge Exchange Grant
Incorporating Indigenous Knowledge and Perspectives into Science and Engineering Teaching
ARC Linkage Project
Play It Again: Creating a Playable History of Australasian Digital Games, for Industry, Community and Research Purposes

Visual Paradigm Academic Partner Program has made possible the use of VP-UML, SDE-EC, SDE-NB, SDE-IJ, SDE-VS, BPVA, AG at Flinders University for educational purposes.
Dr de Vries' research focuses on complex domain modelling using more sophisticated methods, such as mesodata modelling, as well as other issues relevant to metadata modelling related to data mining, knowledge management and schema evolution. She is a member of Flinders Medical Devices and Technologies (FMDAT)
Data Mining Projects
The field of Semantic Computing addresses the derivation and matching of the semantics of computational content to that of naturally expressed user intentions in order to retrieve, manage, manipulate or even create content, where "content" maybe anything including video, audio, text, processes, services, hardware, networks, etc.(ICSC2010)Mesodata: Engineering Domains for Attribute Evolution and Data Integration
Fawaz Alanazi
Humayra Binte Ali
Edgardo Munoz Najar Galvez
Rui Li
Katharine Neil
Lua Perimal-Lewis
Sameer Shetewi
McIntyre, J.J. & de Vries, D.B., 2011. Identity, Democracy and Sustainability, Litchfield Park, AZ, USA: Emergent Publications.
de Vries, D.B., 2010. Mesodata Modelling, Saarbrucken Germany: VDM Verlag Dr. Müller.
de Vries, D.B., 2011. Providing the Right Services for Complex Needs. In Evidence Based Public Management: Practices, Issues and Prospects. Armonk, New York: M.E. Sharpe, pp. 232-247.
Wahlstrom, K., Roddick, J.F., Sarre, W., Estivill-Castro, V., & de Vries, D.B., 2009. Legal and technical issues of privacy preservation in data mining. In Encyclopedia of Data Warehousing and Mining. Hershey, PA, USA: Information Science Reference, pp. 1158-1163.
McIntyre, J.J., de Vries, D.B., & Deakin, J.L., 2008. Participatory Democracy Based On User-Centric Policy Design To Address Complex Needs. In Citizenship in the 21st Century. New York USA: Nova Science Publishers, pp. 1-53.
Roddick, J.F., Ceglar, A.J., de Vries, D.B., & La-Ongsri, S., 2007. Postponing schema definition: Low Instance-to-Entity Ratio (LItER) modelling. In Active Conceptual Modeling of Learning. Berlin: Springer, pp. 206-216.
Mooney, C.H., de Vries, D.B., & Roddick, J.F., 2006. A multi-level framework for the analysis of sequential data. In Data Mining: Theory, Methodology, Techniques and Applications. Heidelberg, Germany: Springer, pp. 229-243.
de Vries, D.B., Piller, N.B., Dawson, R., & Rice, J.L., 2011. Is there a link between LE treatment and breast cancer reoccurence. Journal of Lymphoedema, 6(1), 85-86.
McIntyre, J.J. & de Vries, D.B., 2010. Addressing Complex Needs: User-Centric Design to Enhance Wellbeing. International Journal of Interdisciplinary Social Sciences, 5(5), 11-32.
McIntyre, J.J. & de Vries, D.B., 2009. How lemmings on wheels can make a u-turn through social inclusion and democracy. Systemic Practice and Action Research, 22(3), 173-200.
McIntyre, J.J. & de Vries, D.B., 2011. Identity, Democracy and Sustainability, Litchfield Park, AZ, USA: Emergent Publications.
de Vries, D.B., 2010. Mesodata Modelling, Saarbrucken Germany: VDM Verlag Dr. Müller.
de Vries, D.B., 2011. Providing the Right Services for Complex Needs. In Evidence Based Public Management: Practices, Issues and Prospects. Armonk, New York: M.E. Sharpe, pp. 232-247.
Wahlstrom, K., Roddick, J.F., Sarre, W., Estivill-Castro, V., & de Vries, D.B., 2009. Legal and technical issues of privacy preservation in data mining. In Encyclopedia of Data Warehousing and Mining. Hershey, PA, USA: Information Science Reference, pp. 1158-1163.
McIntyre, J.J., de Vries, D.B., & Deakin, J.L., 2008. Participatory Democracy Based On User-Centric Policy Design To Address Complex Needs. In Citizenship in the 21st Century. New York USA: Nova Science Publishers, pp. 1-53.
Roddick, J.F., Ceglar, A.J., de Vries, D.B., & La-Ongsri, S., 2007. Postponing schema definition: Low Instance-to-Entity Ratio (LItER) modelling. In Active Conceptual Modeling of Learning. Berlin: Springer, pp. 206-216.
Mooney, C.H., de Vries, D.B., & Roddick, J.F., 2006. A multi-level framework for the analysis of sequential data. In Data Mining: Theory, Methodology, Techniques and Applications. Heidelberg, Germany: Springer, pp. 229-243.
de Vries, D.B., Piller, N.B., Dawson, R., & Rice, J.L., 2011. Is there a link between LE treatment and breast cancer reoccurence. Journal of Lymphoedema, 6(1), 85-86.
McIntyre, J.J. & de Vries, D.B., 2010. Addressing Complex Needs: User-Centric Design to Enhance Wellbeing. International Journal of Interdisciplinary Social Sciences, 5(5), 11-32.
McIntyre, J.J. & de Vries, D.B., 2009. How lemmings on wheels can make a u-turn through social inclusion and democracy. Systemic Practice and Action Research, 22(3), 173-200.
La-Ongsri, S., Roddick, J.F., & de Vries, D.B., 2008. Accommodating mesodata into conceptual modelling methodologies. Information and Software Technology, 50(5), 424-435.
McIntyre, J.J., de Vries, D.B., Christakis, A., & Bausch, K., 2008. How can we break the mould? Democracy, semiotics and regional governance. Systems Research and Behavioral Science, 25(2), 305-321.
de Vries, D.B. & Roddick, J.F., 2007. The Case for Mesodata: An Empirical Investigation of an Evolving Database System. Information and Software Technology, 49(9-10), 1061-1072.
Li, R., de Vries, D.B., & Roddick, J.F., 2011. Bands of Privacy Preserving Objectives: Classification of PPDM Strategies. Data Mining and Analytics 2011, 121.
Liang, P., Roddick, J.F., Ceglar, A.J., Shillabeer, A., & de Vries, D.B., 2009. Discovering Itemset Interactions. Australian Computer Science Communications, 91, 121-128.
McIntyre, J.J., de Vries, D.B., & Pfitzner, D.M., 2008. Open democracy supported by governance based on expanded pragmatism and testing out ideas. Proceedings of ANZSYS 2008.
Roddick, J.F., Ceglar, A.J., & de Vries, D.B., 2007. Towards active conceptual modelling for sudden events. Challenges in Conceptual Modelling: Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling: ER 2007, 83, 203-208.
Shillabeer, A., Roddick, J.F., & de Vries, D.B., 2006. On the arguments against the application of data mining to medical data analysis. IDAMAP 2006: Proceedings of the Intelligent Data Analysis in Biomedicine and Pharmacology Conference.
Roddick, J.F. & de Vries, D.B., 2006. Reduce, reuse, recycle: practical approaches to schema integration, evolution and versioning. Lecture Notes in Computer Science, 4231, 209-216.
Rice, S., Roddick, J.F., & de Vries, D.B., 2006. Defining and implementing domains with multiple types using mesodata modelling techniques. Proceedings of the Third Asia-Pacific Conference on Conceptual Modelling (APCCM2006), 53, 85-93.
de Vries, D.B., Rice, S., & Roddick, J.F., 2004. In support of mesodata in database management systems. Proceedings of the 15th International Conference on Database and Expert systems Applications.
de Vries, D.B. & Roddick, J.F., 2004. Facillitating database attribute domain evolution using mesodata. Lecture Notes in Computer Science, 3289, 429-440.
Mooney, C.H., de Vries, D.B., & Roddick, J.F., 2004. A multi-level framework for the analysis of sequential data. Proceedings of the 3rd Australasian Data Mining Conference, 199-213.
Roddick, J.F., Hornsby, K., & de Vries, D.B., 2003. A unifying semantic distance model for determining the similarity of attribute values. Computer Science 2003: Proceedings of the Twenty-Sixth Australasian Computer Science Conference, 111-118.
Swalwell, M.L. & de Vries, D.B., 2011. Australasian Heritage Software Database.