Magnum Opus Applications Magnum Opus ApplicationsIn addition to its commercial applications, Magnum Opus is used by scientists in a range of disciplines. The following papers describe some scientific applications of Magnum Opus. Internet access is required to follow the links.
Irena I. Artamonova, Goar Frishman, Mikhail S. Gelfand, and Dmitrij Frishman (2005) Mining sequence annotation databanks for association patterns. Bioinformatics, 21: 49-57.
D. Bhosale (2006) AlcoZone: An Adaptive Hypermedia Based Personalized Alcohol Education. Masters Thesis. Virginia Polytechnic Institute and State University.
Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham Williams, and Chris Kelman, (2006) Identifying Risk Groups Associated with Colorectal Cancer, Lecture Notes in Computer Science, Volume 3755, Pages 260 - 272.
George Dimitoglou and Shmuel Rotenstreich (2007) A System for Association Rule Discovery in Emergency Response Data. In Tarek Sobh (Ed.) Innovations and Advanced Techniques in Computer and Information Sciences and Engineering, Springer: Berlin, pp. 193-199.
Daniel Druckman, Richard Harris, and Johannes Fürnkranz (2006) Modeling International Negotiation: Statistical and Machine Learning Approaches. In Robert Trappl (Ed.) Modeling International Negotiation Statistical and Machine Learning Approaches. Springer Netherlands, pp. 227-250.
Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis Varlamis: (2003) SEWeP: using site semantics and a taxonomy to enhance the Web personalization process. KDD 2003: 99-108.
Thomas Hellström (2003) Learning Robotic Behaviors with Association Rules. WSEAS Transactions on Systems. Editor: Nikos Mastorakis. ISBN 1109-2777.
Jianxin Jiao and Yiyang Zhang: (2005) Product portfolio identification based on association rule mining. Computer-Aided Design 37(2): 149-172
Jianxin Jiao, Yiyang Zhang, and Martin Helander (2006) A Kansei mining system for affective design. Expert Systems with Applications, 30(4): 658-673.
J. Jiao, L. Zhang, Y. Zhang, and S. Pokharel (2007) Association rule mining for product and process variety mapping. International Journal of Computer Integrated Manufacturing.
Damien McAullay, Graham J. Williams, Jie Chen, and Huidong Jin: (2005) A Delivery Framework for Health Data Mining and Analytics. Australian Computer Science Conference 2005: 381-390.
J. Mennis and J.W. Liu, (2005) Mining association rules in spatio-temporal data: an analysis of urban socioeconomic and land cover change. Transactions in GIS, 9(1): 13-18.
Joseph Papaparaskevas, Yannis Batistakis, Maria Halkidi, Christos Amanatidis, Maria Kanellopoulou, Michalis Vazirgiannis, Evangelos Papafragas, and Alkiviadis C. Vatopoulos (2001) The use of Data Mining Techniques in Antibiotic Resistance Surveillance, Technical Report, Department of Informatics, Athens University of Economics and Business.
Orna Raz (2004) Helping Everyday Users Find Anomalies in Data Feeds, Ph.D. Thesis - Software Engineering, Carnegie-Mellon University.
K.K.W. Siu, S.M. Butler, T. Beveridge, J.E. Gillam, C.J. Hall, A.H. Kaye, R.A. Lewis, K. Mannan, G. McLoughlin, S. Pearson, A.R. Round, E. Schultke, G.I. Webb, and S.J. Wilkinson (2005). Identifying markers of pathology in SAXS data of malignant tissues of the brain. Nuclear Instruments and Methods in Physics Research A, 548:140-146. [Pre-publication PDF]
L. Tsironis, N. Bilalis, and V. Moustakis, (2005) Using machine learning to support quality management: Framework and experimental investigation. The TQM Magazine, 17(3): 237 - 248 .
Hei-Chia Wang, Yi-Shiun Lee and Tian-Hsiang Huang (2006) Gene Relation Finding Through Mining Microarray Data and Literature. In Transactions on Computational Systems Biology V, Springer: Berlin, pp. 83-96.
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