Herna L Viktor - Recent Papers

I am the author of more than 100 papers. Here is a list of the ones since 2003. Please contact me if you would like to acquire a copy of one of these, or one of my earlier publications.

Papers in Refereed Journals:

1. I Peña, HL Viktor and E Paquet, Who are our clients: Consumer Segmentation through Explorative Data Mining, accepted in Int. J. of Data Mining, Modelling and Management, Inderscience, 2011.

2. H Guo, HL Viktor and E Paquet, Privacy Disclosure and Preserving in Learning with Multi-relational Databases, accepted in the Journal of Computing Science and Engineering (JCSE), 2011.

3. E. Paquet, I. Peña and H. L. Viktor, From anthropometric measurements to three-dimensional shape, accepted in Journal of Fibre & Textile Research, 2011.

4. J Doyle, HL Viktor and E Paquet, A Metadata Framework for Long Term Digital Preservation of 3D Data, International Journal of Information Studies, 1 (3), 165-171, 2009.

5. J. Doyle, HL Viktor and E. Paquet, Long Term Digital Preservation – Preserving Authenticity and Usability of 3D Data, International Journal on Digital Libraries, Springer Publishers, Volume 10, pp.33-48, 2009.

6. E Paquet and HL Viktor, Capri/MR: Exploring Protein Databases from a Structural and Physicochemical Point of View, Very Large Database Endowment Journal (PVLDB), Volume 1, pp. 1504-1507, 2008.

7. H Guo and HL Viktor, Learning from skewed class multi-relational databases, Fundamenta Informaticae, Volume 89, pp.69-94, 2008.

8. H Guo and HL Viktor, Multirelational classification: A multiple view approach, Knowledge and Information Systems: An International Journal, Springer Publishers, 17, pp.287–312, 2008.

9. HL Viktor and E Paquet, Calibration of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-based Retrieval of 3-D Body Scans, the IEEE Transactions on Instrumentation and Measurements, IEEE Press, Vol 56 (5), pp.1924-1929, October 2007.

10. E Paquet and HL Viktor, On the application of 3-D technologies to the framework of cultural heritage, Annales des télécommunications, Hermes Science Publications, Paris: France, 60, pp.1311-1325, December 2005.

11. O Abdali, HL Viktor, E Paquet and M Rioux, Exploring anthropometric data through cluster analysis, SAE 2004 Transactions Journal of Aerospace, Volume V113-1, pp.241-246, 2004. Judged to be among the most outstanding SAE technical papers of 2004.

12. H Guo and HL Viktor, Learning from imbalanced data sets with boosting and data generation: The DataBoost-IM approach, ACM SIGKDD Explorations, pp.30-39, June 2004.

Chapters in Books:

1. “Addressing the Docking Problem: Finding Similar 3-D Protein Envelopes for Computer-aided Drug Design”, E Paquet and HL Viktor, Advances in Computational Biology, Advances in Experimental Medicine and Biology, 7 pp., Springer Verlag, 2010.

2. “Visual data mining from Visualization to Visual Information Mining”, HL Viktor and E Paquet, Encyclopedia of Data Warehousing and Mining (Second Edition), Information Science Reference, Hershey, PA: USA, pp.2056-2061, 2008.

3. “Visualization techniques for data mining”, HL Viktor and E Paquet, Encyclopedia of Data Warehousing and Mining, IDEA Group Reference, Hershey, PA: USA, pp.1190-1195, 2005.

4. “Ensuring high quality data warehouses in the business-to-consumer domain”, HL Viktor, Data Warehousing, ICFAI Books, 2004.

5. “Cooperative learning and virtual reality-based visualization for data mining”, HL Viktor, E Paquet and JG le Roux, J. Wang (ed.), Data mining: Opportunities and Challenges, IRM Publishers, Hershey, PA: USA, Chapter 3, pp.55-79, 2003.

6. The Virtual Boutique: Virtual environment, multimedia retrieval and data mining for E-commerce and E-business, E Paquet and HL Viktor, Witold Abramowicz (Ed.), Knowledge Based Information and Retrieval, Kluwer Academic Publishers, Chapter 13, pp.251-268, 2003.

Papers in Refereed Conference Proceedings:

1. D Muhivumundo and HL Viktor, Detecting Data Duplicates through Active Ensemble-based Learning, the IEEE African Conference on Software Engineering andApplied Computing (ACSEAC 2011), Cape Town, South Africa, September 2011.

2. E Paquet and HL Viktor, Multimodal Representations, Indexing, Unexpectedness and Proteins, the 24^th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2011), LNCS 6703, Syracuse, New York, July 2011.

3. H Guo, HL Viktor and E Paquet, “Identifying and Preventing Data Leakage in Multi-relational Classification”, IEEE International Workshop on Privacy Aspects of Data Mining (at ICDM 2010), 14 December, Sydney: Australia, 2010.

4. E Paquet and HL Viktor, Probability Distributions from Riemannian Geometry, Generalized Hybrid Monte Carlo Sampling and Path Integrals, 3D Image Processing and Applications – 3DIP 2011, IS&T/SPIE International Symposium on Electronic Imaging, Volume 7864, pp. 78640X-78640X-8, 2011.

5. HL Viktor, B Wang, J Doyle and E Paquet, “Preserving Object-Relational Databases for the Next Generations”, 5^th IEEE International Conference on Digital Information Management (ICDIM2010), Thunder bay, Canada, 4-8 July, IEEE Press, 2010.

6. HL Viktor, “Addressing Climo-Skepticism: Towards an Integrated Repository of Climate Change Research Findings”, 2^nd International Workshop on Software Research and Climate Change (WSRCC), at 32^nd IEEE International Conference on Software Engineering (ICSE2010), Cape Town, South Africa, 1-8 May, 2010.

7. E Paquet and HL Viktor, “Index Spaces for 3D Retrieval: Toward a Better Understand of their Geometry and Probability Distribution”, 3D Image Processing and Applications – 3DIP, IS&T/SPIE International Symposium on Electronic Imaging, 18-19 January, San Jose, CA, USA, 2010.

8. E Paquet and HL Viktor, “Indexing and Retrieval of Multiple 3D Protein Structure Representations for the Protein Data Bank”, Proteomics Europe, 5-6 November, Barcelona, Spain, 26 pp., 2009.

9. E Paquet and HL Viktor, “Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching”, ISTICC, ACM SIGMIS International Conference on Knowledge Discovery and Information Retrieval - KDIR, 6-8 October, Madeira, Portugal, 127-133, 2009.

10. I Peña, HL Viktor and E Paquet, “Explorative Data Mining for the Sizing of Population Groups”, ISTICC, ACM SIGMIS International Conference on Knowledge Discovery and Information Retrieval - KDIR, 6-8 October, Madeira, Portugal, 152-159, 2009.

11. I Peña, HL Viktor and E Paquet, “Finding Clothing that Fit through Cluster Analysis and Objective Interestingness Measures”, 11^th International Conference on Data Warehousing and Knowledge Discovery - DaWaK 2009, Springer LNCS 5691, 31 August - 4 September, Linz, Austria, 216-228, 2009.

12. E Paquet, M. Daoudi and HL Viktor, “Three-Dimensional Averaging of Human Bodies: the Interplay in between Riemannian and Euclidian Structure”, Eurographics Workshop on 3D Object Retrieval, 29 March, Munich, Germany, 4 pp., CD ROM, 2009.

13. J. Doyle, HL Viktor and E Paquet, Preservation Metadata – A Framework for 3D Data based on the Semantic Web, the 3^rd IEEE International Conference on Digital Information Management (ICDIM 2008), London, UK, November 13-16, 2008, CD ROM.

14. E Paquet, A Beraldin, HL Viktor and B Benedetto, An Integrated Framework for the Acquisition, Modeling, Interaction and Management of Digital Cultural Data, DMACH 2008, Amman: Jordan.

15. E Paquet and HL Viktor, Capri/MR: Exploring Protein Databases from a Structural and Physicochemical Point of View, the 34^th VLDB 2008 Conference, Auckland, New Zealand, August 23-29, 2008.

16. E Paquet, E Beraldin, HL Viktor and B Benedetti, Aided Reconstruction of Complex Sites and Architectures: Application to the Grotta dei Cervi and the Broken Frescoes of the Assisi Basilica, WG V/2 - Cultural Heritage Documentation, the 21^th ISPRS Congress 2008, Beijing, China, July 3-11, 2008, pp.219-224.

17. J Doyle, HL Viktor and E Paquet, Long Term Digital Preservation- An End User’s Perspective, the 2^nd IEEE International Conference on Digital Information Management (ICDIM 2007), October 2007, Lyon, France, CD ROM, IEEE Press, 12 pp.

18. E Paquet and HL Viktor, CAPRI- Content-based Analysis of Protein Structure for Retrieval and Indexing, the 33^rd Very Large Databases (VLDB2007) Conference, Workshop on Data Mining in Bioinformatics, September 23, 2007, CD ROM, VLDB Publishers, 12 pp.

19. H Guo and HL Viktor, Mining Imbalanced Classes in Multi-relational Classification, Workshop on Multi-relational Data Mining, European Conference on Principles and Practice of Knowledge Discovery from Data (ECML/PKDD2007), Springer-Verlag, Warsaw: Poland, September 17-22, 2007, Lecture Notes in AI (LNAI4702), Springer-Verlag, pp.462-470.

20. H Guo, HL Viktor and E Paquet, Pruning Relations for Substructure Discovery of Multi-relational Databases, the European Conference on Principles and Practice of Knowledge Discovery from Data (ECML/PKDD2007), Springer-Verlag, Warsaw: Poland, September 17-22, 2007, pp. 462-470.

21. E Paquet and HL Viktor, Exploring Protein Architectures using 3D Shape-based Signatures, the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon: France, August 22-26, 2007, CD ROM, IEEE Press, 4 pp.

22. E Paquet, HL Viktor, H Guo and IP Sanchez, Constrained Virtual Tailoring from Anthropometric Data, 3-D Shape and Data Mining, the 2^nd International World Engineering Anthropometry Resource Conference (WEAR2007), Banff, Canada, July 31 - August 2, 2007.

23. E Paquet, J-A Beraldin, HL Viktor, B Benedetti, The Application of Content-based Indexing and Retrieval of Digital Pictures and Range Images to the 3D Virtual Reconstruction of Complex Sites and Architectures, the ISPRS 3D-ARCH- 3D Virtual Reconstruction and Visualization of Complex Architectures Workshop, ETH Zurich, July, 2007 12-13, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI-5/W47, CD ROM, 10 pp.

24. HL Viktor, E Paquet and H Guo, Measuring to Fit: Virtual tailoring through cluster analysis and classification, The European conference on Principles and Practice of Knowledge Discovery from Data (ECML/PKDD2006), Springer-Verlag Publishers, September 18-22, 2006, pp.395-406. This paper won the Distinguished Papers: PKDD Innovative Application Award.

25. E Paquet, C Lahanier, D Pitzalis, S Peters, G Aitken and HL Viktor, Content-based Indexing, Retrieval and Storage of Cultural Heritage Data: an Integrated and Long-term Approach to Documentation with Application to the EROS Database, The 7th International Symposium on Virtual Reality, Archeology and Cultural Heritage - VAST 2006, 30 October - 4 November, 2006, Nicosia, Cyprus, 6 pp.

26. H Guo and HL Viktor, Mining relational data through correlation-based multiple view validation, the 12^th Annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), Philadelphia, USA, August 22-23, 2006, pp. 567-573.

27. H Guo and HL Viktor, Multi-view artificial neural networks for multi-relational classification, the IEEE International Joint Conference on Neural Networks (IJCNN2006), Vancouver, Canada, July 16-21, 2006, IEEE Press, DVD, 6 pp.

28. H Guo and HL Viktor, Mining relational database using multi-views, the 4^th Multi-relational Data Mining Workshop, at the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago: USA, 21 August 2005, pp.15-24.

29. E Paquet and HL Viktor, Long-term preservation of 3-D cultural heritage data related to architectural sites, the ISPRS WG V/4 3D-Arch Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures, Mestre: Italy, 22-24 August 2005, 8 pp. (CD ROM).

30. E Paquet and HL Viktor, Anthropometric calibration of virtual mannequins through cluster analysis and content-based retrieval of 3-D body scans, the 2005 IEEE Instrumentation and Measurement Technology Conference, Ottawa: Canada, IEEE Press, May 17-19, 2005, pp.1458-1563.

31. HL Viktor, A multi-strategy approach for mining multimedia data repositories, Data mining 2005, Skiathos: Greece, WIT Press: UK, May 25-27, 2005, pp.63-73.

32. Y Mai, J Li and HL Viktor, UML for data warehouse dimensional modeling, the 4^th International Conference on Management Information Systems (MIS 2004), Malaga, Spain, 13-15 September 2004, pp.201-211.

33. HL Viktor and H Guo, Improving the prediction of multiple classifiers against imbalanced datasets through adding synthetic examples, the 10^th International Workshop on Statistical Pattern Recognition, Lisbon, Portugal, August 18-20, 2004, Springer-Verlag, Berlin, pp.974-982.

34. E Paquet and HL Viktor, Visualisation, exploration and characterization of virtual collections, the 20^th ISPRS Congress, Istanbul, Turkey, July 12-23 , 2004, pp.597-602.

35. H Guo and HL Viktor, Boosting with data generation: Improving the classification of hard to learn examples, the 17^th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), Ottawa, Canada, May 17-20, 2004, Lecture Notes in Artificial Intelligence (LNAI) 3029, Springer-Verlag, Berlin, pp.1082-1091.

36. S El-Hakim, L Gonzo, M Picard, S Girardi, A Simoni, E Paquet and HL Viktor, Photo-Realistic visualization of visualization, The Eurographics 4^th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, Brighton: UK, November 5-7, 2003, pp.203-211.

37. E Paquet and HL Viktor, Distributed virtual environment for visualization and visual data mining, ISPR5 Commission Working Group 6, Workshop on Visualization and Animation of Reality-based 3D Models, Engadin, Switzerland, February 24-28, 2003, 6 pp, (CD ROM).

Invited seminars presented:

1. From Theory to Practice: A Utility-based Methodology for Mining Object-relational Databases, at the Yahoo!-DAIS Seminar, University of Illinois at Urbana-Champaign, http://dais.cs.uiuc.edu/f09_seminar_schedule.html

2. Mining Object-relational Databases, Dipartimento Di Informatica, Università degli Studi di Bari "Aldo Moro", http://www.di.uniba.it/

3. Learning from Imbalanced Data: An Overview and the DataBoost-IM Algorithm, Dipartimento DI INFORMATICA, Università degli Studi di Bari "Aldo Moro", http://www.di.uniba.it/

4. Sizing populations: Finding archetypes in an anthropometric object-relational database, Spring Symposium on Data Mining (SSO 2010), Statistical Society of Ottawa, http://www.ssc.ca/en/ottawa/past-sso-events

5. The IDeAL System: A Utility-based Methodology for Mining Massive Databases, Invited Speaker, the 11^th SAS Annual Data Mining Conference M2008, Las Vegas, USA, October 27-29, 2008.

6. An environment for the long-term preservation of cultural heritage data, Scuola Normale Superiore di Pisa, Italy, October 2006.

7. Current advances in data mining, School of IT, University of Pretoria, South Africa, March 2005.

8. Model combination through data generation, ITC-Irst (Centro per la Ricerfa Scientifica e Technologica), August 2003.

Updated: June 2011