H.6.3.3. Pattern analysis
Hidden Pattern Discovery on Clinical Data: an Approach based on Data Mining Techniques

Meysam Roostaee; Razieh Meidanshahi

Volume 11, Issue 3 , July 2023, , Pages 343-355

https://doi.org/10.22044/jadm.2023.12855.2435

Abstract
  In this study, we sought to minimize the need for redundant blood tests in diagnosing common diseases by leveraging unsupervised data mining techniques on a large-scale dataset of over one million patients' blood test results. We excluded non-numeric and subjective data to ensure precision. To identify ...  Read More

H.6.3.3. Pattern analysis
Overlap-based feature weighting: The feature extraction of Hyperspectral remote sensing imagery

M. Imani; H. Ghassemian

Volume 3, Issue 2 , July 2015, , Pages 181-190

https://doi.org/10.5829/idosi.JAIDM.2015.03.02.07

Abstract
  Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very ...  Read More