The 18th IEEE Symposium on Computer-Based Medical Systems

 

Special Track on Data Mining

 

Special Track on Data Mining will be held on Thursday, June 23

Final programme of the conference is available here

 

Special Track 3: Data Mining                        Session 3C (15:20-17:00, Synge Theatre) 

 

Chair: Mykola Pechenizkiy, University of Jyväskylä, Finland

Mining Associations over Human Sleep Time Series 

P. Laxminarayan, C. Ruiz, S. Alvarez, and M. Moonis

iProspect.com, USA; Worcester Polytechnic Institute, USA; Boston College, USA; Univ. of Massachusetts Medical School, USA

Approximations to Magic: Finding Unusual Medical Time Series 

J. Lin, E. Keogh, A. Fu, and H. Van Herle

University of California at Riverside, USA; The Chinese University of Hong Kong, Hong Kong; University of California at Los Angeles, USA

Classifying Craniosynostosis Deformations by Skull Shape Imaging 

S. Ruiz-Correa, R. W. Sze, J. H.-T. Lin, L. G. Shapiro, M. L. Speltz, and M. L. Cunningham

Children's Hospital and Regional Medical Center, USA; Univ. of Washington, USA

A Practical Tool for Visualizing and Data Mining Medical Time Series 

L. Wei, N. Kumar, V. N. Lolla, E. Keogh, S. Lonardi, C. Ratanamahatana, and H. Van Herle;

University of California at Riverside, USA

A Missing Data Estimation Analysis in Type II Diabetes Databases 

M. Giardina, Y. Huo, F. Azuaje, P. McCullagh, and R. Harper; Univ. of Ulster, UK

Ulster Community and Hospitals Trust, UK

Special Track 3: Data Mining                        Session 4C (17:20-19:00, Synge Theatre) 

 

Chair: Seppo Puuronen, University of Jyväskylä, Finland

Case-Based Tissue Classification for Monitoring Leg Ulcer Healing 

M. Galushka, H. Zheng, D. Patterson, and L. Bradley

Univ. of Ulster, UK

Synopsis for Microbiological Data Stream Analysis 

G. Cellarosi and C. Sartori

Università degli Studi di Bologna, Italy

Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis 

M. Pechenizkiy, A. Tsymbal, and S. Puuronen

Univ. of Jyväskylä, Finland; Trinity College Dublin, Ireland

Data Mining Methods Supporting Diagnosis of Melanoma 

J. W. Grzymala-Busse and Z. S. Hippe; Univ. of Kansas, USA

Univ. of Information Technology and Management, Poland