Dr Denise de Vries

Position/s:Lecturer
School of Computer Science, Engineering and Mathematics
Phone: +61 8 82013639
Email:
Location: Information, Science & Technology (356)
Postal address: GPO Box 2100, Adelaide 5001, South Australia

Biography

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.

Qualifications

PhD  Flinders University
BSc(Hons)   Flinders University
BCompInfSc University of South Australia

Honours, awards and grants

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
http://csem.flinders.edu.au/thegoodstuff/IndigiSTEM/#

ARC Linkage Project
Play It Again: Creating a Playable History of Australasian Digital Games, for Industry, Community and Research Purposes

Teaching

Teaching interests

NOTE: All semester 1's lectures are recorded


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.

Bachelor of Information Technology (Network Systems)

Denise was instrumental in developing the BIT(Network Systems). For more details see www.flinders.edu.au/courses/new-courses-2014/information-technology-network-systems.cfm

Topic Coordinator:

Research and supervision

Research expertise

  • Computer software
  • Data format
  • Information systems
  • Other information and computing sciences

Research interests

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 Medical Device Research Institute (MDRI) and Centre for Knowledge and Interaction Technologies (CKIT)

Data Mining Projects

  • Supermarket Sales Data Analysis
    Analysing the food and nutrient content of supermarket sales over a 12 month period.
  • Breast Cancer and Lymphoedema
    To discover associations, if any, between the two conditions and outcomes.
Mesodata: Engineering Domains for Attribute Evolution and Data Integration
This research focuses on the utility of augmenting the information capacity of the attribute domain in a reusable and systematic manner.
This is done by more clearly delineating between domain definition - mesodata - and schema definition - metadata.
This middle-ground approach reflects the approach taken in research areas such as temporal, spatial and multi-dimensional modelling which argue for a flexible but unified way of handling common modelling problems.

Digital Preservation: Play It Again Creating a Playable History of Australasian Digital Games, for Industry, Community and Research Purposes", ARC Linkage, 2012-14
Facebook & Twitter: @AgainPlay

Research methods for preserving source code and data from 1970s and 1980s.

Supervisory interests

  • Data integration
  • Data mining and knowledge discovery
  • Data semantics
  • Database evolution
  • Database modelling
  • Digital game preservation
  • Digital preservation
  • E-learning
  • Process modelling

RHD research supervision

Current

Associate supervisor: Process mining (1); Digital games modelling (1); Digital games preservation (1); e-Commerce technologies (1); e-Learning technologies (2); Data Mining (2);

Publications

Books
McIntyre, J. and De Vries, D.B. (2011). Identity, Democracy and Sustainability. Litchfield Park, USA: Emergent Publications. [online]. Available from: http://emergentpublications.com/(S(dxtj1kifjqnpjkriag2uyiga))/catalog_detail.aspx?Value=79.
De Vries, D.B. (2010). Mesodata Modelling. Saarbrucken Germany: VDM Verlag Dr. Müller.
Book chapters
De Vries, D.B. (2011). Evidence-Based Management of Social Services: Providing the "Right" Services for Complex Needs. In Anna Shillabeer; Terry F. Buss; Denise M. Rousseau, ed. Evidence Based Public Management: Practices, Issues and Prospects. Armonk, USA: M.E. Sharpe, pp. 232-247.
Wahlstrom, K., Roddick, J.F., Sarre, W., Estivill-Castro, V. and De Vries, D.B. (2009). Legal and technical issues of privacy preservation in data mining. In John Wang, ed. Encyclopedia of Data Warehousing and Mining. Hershey, PA, USA: Information Science Reference, pp. 1158-1163. [online]. Available from: http://www.igi-global.com/reference/details.asp?ID=7956&v=tableOfContents.
McIntyre, J.J., De Vries, D.B. and Deakin, J.L. (2008). Participatory Democracy Based On User-Centric Policy Design To Address Complex Needs. In Lester T. Kane and Marylyn R. Poweller, ed. Citizenship in the 21st Century. New York USA: Nova Publishers, pp. 1-53. [online]. Available from: https://www.novapublishers.com/catalog/product_info.php?products_id=6966.
Roddick, J.F., Ceglar, A.J., De Vries, D.B. and La-Ongsri, S. (2007). Postponing schema definition: Low Instance-to-Entity Ratio (LItER) modelling. In Peter P Chen and Leah Y Wong, ed. Active Conceptual Modeling of Learning. Berlin: Springer, pp. 206-216.
Mooney, C.H., De Vries, D.B. and Roddick, J.F. (2006). A multi-level framework for the analysis of sequential data. In Graham J. Williams and Simeon J. Simoff, ed. Data Mining: Theory, Methodology, Techniques and Applications. Heidelberg, Germany: Springer, pp. 229-243.
Refereed journal articles
McIntyre, J. and De Vries, D.B. (2012). Part 2: Transformation from Wall Street to Well-being. Systems Research and Behavioral Science. [online]. Available from: http://dx.doi.org/10.1002/sres.2133.
De Vries, D.B., Piller, N., Dawson, R. and Rice, J. (2011). Is there a link between LE treatment and breast cancer reoccurence? Journal of Lymphoedema, 6(1), pp.85-86.
McIntyre, J.J. and De Vries, D.B. (2010). Addressing Complex Needs: User-Centric Design to Enhance Wellbeing. International Journal of Interdisciplinary Social Sciences, 5(5), pp.11-32.

Show all publications

Books
McIntyre, J. and De Vries, D.B. (2011). Identity, Democracy and Sustainability. Litchfield Park, USA: Emergent Publications. [online]. Available from: http://emergentpublications.com/(S(dxtj1kifjqnpjkriag2uyiga))/catalog_detail.aspx?Value=79.
De Vries, D.B. (2010). Mesodata Modelling. Saarbrucken Germany: VDM Verlag Dr. Müller.
Book chapters
De Vries, D.B. (2011). Evidence-Based Management of Social Services: Providing the "Right" Services for Complex Needs. In Anna Shillabeer; Terry F. Buss; Denise M. Rousseau, ed. Evidence Based Public Management: Practices, Issues and Prospects. Armonk, USA: M.E. Sharpe, pp. 232-247.
Wahlstrom, K., Roddick, J.F., Sarre, W., Estivill-Castro, V. and De Vries, D.B. (2009). Legal and technical issues of privacy preservation in data mining. In John Wang, ed. Encyclopedia of Data Warehousing and Mining. Hershey, PA, USA: Information Science Reference, pp. 1158-1163. [online]. Available from: http://www.igi-global.com/reference/details.asp?ID=7956&v=tableOfContents.
McIntyre, J.J., De Vries, D.B. and Deakin, J.L. (2008). Participatory Democracy Based On User-Centric Policy Design To Address Complex Needs. In Lester T. Kane and Marylyn R. Poweller, ed. Citizenship in the 21st Century. New York USA: Nova Publishers, pp. 1-53. [online]. Available from: https://www.novapublishers.com/catalog/product_info.php?products_id=6966.
Roddick, J.F., Ceglar, A.J., De Vries, D.B. and La-Ongsri, S. (2007). Postponing schema definition: Low Instance-to-Entity Ratio (LItER) modelling. In Peter P Chen and Leah Y Wong, ed. Active Conceptual Modeling of Learning. Berlin: Springer, pp. 206-216.
Mooney, C.H., De Vries, D.B. and Roddick, J.F. (2006). A multi-level framework for the analysis of sequential data. In Graham J. Williams and Simeon J. Simoff, ed. Data Mining: Theory, Methodology, Techniques and Applications. Heidelberg, Germany: Springer, pp. 229-243.
Refereed journal articles
McIntyre, J. and De Vries, D.B. (2012). Part 2: Transformation from Wall Street to Well-being. Systems Research and Behavioral Science. [online]. Available from: http://dx.doi.org/10.1002/sres.2133.
De Vries, D.B., Piller, N., Dawson, R. and Rice, J. (2011). Is there a link between LE treatment and breast cancer reoccurence? Journal of Lymphoedema, 6(1), pp.85-86.
McIntyre, J.J. and De Vries, D.B. (2010). Addressing Complex Needs: User-Centric Design to Enhance Wellbeing. International Journal of Interdisciplinary Social Sciences, 5(5), pp.11-32.
McIntyre, J.J. and 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), pp.173-200. [online]. Available from: http://dx.doi.org/10.1007/s11213-009-9121-4.
La-Ongsri, S., Roddick, J.F. and De Vries, D.B. (2008). Accommodating mesodata into conceptual modelling methodologies. Information and Software Technology, 50(5), pp.424-435. [online]. Available from: http://dx.doi.org/10.1016/j.infsof.2007.05.001.
McIntyre, J.J., De Vries, D.B., Christakis, A. and Bausch, K. (2008). How can we break the mould? Democracy, semiotics and regional governance. Systems Research and Behavioral Science, 25(2), pp.305-321. [online]. Available from: http://dx.doi.org/10.1002/sres.888.
De Vries, D.B. and Roddick, J.F. (2007). The Case for Mesodata: An Empirical Investigation of an Evolving Database System. Information and Software Technology, 49(9-10), pp.1061-1072. [online]. Available from: http://dx.doi.org/10.1016/j.infsof.2006.11.001.
Refereed conference papers
Li, R., De Vries, D. and Roddick, J.F. (2011). Bands of Privacy Preserving Objectives: Classification of PPDM Strategies. In Peter Vamplew, Andrew Stranieri, Kok-Leong Ong, Peter Christen and Paul Kennedy, ed. Data Mining and Analytics 2011. Ninth Australasian Data Mining Conference (AusDM 2011). pp. 137-152.
Liang, P., Roddick, J.F., Ceglar, A.J., Shillabeer, A. and De Vries, D.B. (2009). Discovering Itemset Interactions. In Bernard Mans, ed. Australian Computer Science Communications. Thirty-Second Australasian Computer Science Conference (ACSC 2009). pp. 121-128. [online]. Available from: http://crpit.com/abstracts/CRPITV91Liang.html.
McIntyre, J.J., De Vries, D.B. and Pfitzner, D.M. (2008). Open democracy supported by governance based on expanded pragmatism and testing out ideas. In D. Cook, ed. Proceedings of  ANZSYS 2008. Australian and New Zealand Systems Group (ANZSYS) 2008: 14th ANZSYS International Conference. [online]. Available from: http://www.anzsys.org/index.php/anzsys08-procs.html.
Roddick, J.F., Ceglar, A.J. and De Vries, D.B. (2007). Towards active conceptual modelling for sudden events. In John Grundy, Sven Hartmann, Alberto H.F. Laender, Leszek Maciaszek and John F. Roddick, ed. Challenges in Conceptual Modelling: Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling: ER 2007. 26th International Conference on Conceptual Modeling. pp. 203-208. [online]. Available from: http://crpit.com/abstracts/CRPITV83Roddick.html.
Shillabeer, A., Roddick, J.F. and De Vries, D.B. (2006). On the arguments against the application of data mining to medical data analysis. In Niels Peek and Carlo Combi, workshop chairs., ed. IDAMAP 2006: Proceedings of the Intelligent Data Analysis in Biomedicine and Pharmacology Conference. IDAMAP 2006 - Intelligent Data Analysis in Biomedicine and Pharmacology.
Roddick, J.F. and De Vries, D.B. (2006). Reduce, reuse, recycle: practical approaches to schema integration, evolution and versioning. In Lecture Notes in Computer Science. 4th International Workshop on Evolution and Change in Data Management. pp. 209-216.
Rice, S., Roddick, J.F. and De Vries, D.B. (2006). Defining and implementing domains with multiple types using mesodata modelling techniques. In Stumptner, M., Hartmann, S. and Kiyoki, Y, ed. Proceedings of the Third Asia-Pacific Conference on Conceptual Modelling (APCCM2006). Conceptual Modelling 2006: The 3rd Asia-Pacific Conference on Conceptual Modelling. pp. 85-93. [online]. Available from: http://delivery.acm.org/10.1145/1160000/1151865/p85-rice.pdf?key1=1151865&key2=2280459421&coll=GUIDE&dl=GUIDE&CFID=47774651&CFTOKEN=37704673.
Mooney, C.H., De Vries, D.B. and Roddick, J.F. (2004). A multi-level framework for the analysis of sequential data. In Simeon J. Simoff and Graham J. Williams, ed. Proceedings of the 3rd Australasian Data Mining Conference. 3rd Australasian Data Mining Conference. pp. 199-213.
De Vries, D.B., Rice, S. and Roddick, J.F. (2004). In support of mesodata in database management systems. In Fernando Galindo, Makoto Takizawa and Roland Traunmuller, ed. Proceedings of the 15th International Conference on Database and Expert systems Applications. 15th International Conference on Database and Expert Systems Applications (DEXA 2004).
De Vries, D.B. and Roddick, J.F. (2004). Facillitating database attribute domain evolution using mesodata. In Lecture Notes in Computer Science. Third International Workshop on Evolution and Change in Data Management (ECDM2004). pp. 429-440.
Roddick, J.F., Hornsby, K. and De Vries, D.B. (2003). A unifying semantic distance model for determining the similarity of attribute values. In Oudshoorn, M, ed. Computer Science 2003: Proceedings of the Twenty-Sixth Australasian Computer Science Conference. 26th Australasian Computer Science Conference (ACSC2003). pp. 111-118.
Other public research outputs
Swalwell, M.L. and De Vries, D. (2011). Australasian Heritage Software Database (Database).

Show selected publications

Professional and community engagement

Expertise for media contact

  • Data Mining and Knowledge Discovery
  • Process Modelling workflow modelling, business process modelling, decision-making tools
  • Database database modelling, data integration, data semantics, change management, database evolution

Subject/s

  • Computers
  • Data mining
  • Engineering - Computer Systems
  • Information systems
  • Internet
  • Technology

Further information

Consulting Hours : Tuesday 1:30pm - 2:30pm
or make an appointment at the School Office.



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