An efficient data preprocessing approach for large scale medical data mining
- 1 February 2015
- journal article
- research article
- Published by IOS Press in Technology and Health Care
- Vol. 23 (2), 153-160
- https://doi.org/10.3233/THC-140887
Abstract
BACKGROUND: The size of medical datasets is usually very large, which directly affects the computational cost of the data mining process. Instance selection is a data preprocessing step in the knowledge discovery process, which can be employed to redKeywords
This publication has 7 references indexed in Scilit:
- Towards high dimensional instance selection: An evolutionary approachDecision Support Systems, 2014
- SVOIS: Support Vector Oriented Instance Selection for text classificationInformation Systems, 2013
- Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical StudyIEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
- Data Mining in Healthcare and Biomedicine: A Survey of the LiteratureJournal of Medical Systems, 2011
- SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivationNature Genetics, 2008
- Top 10 algorithms in data miningKnowledge and Information Systems, 2007
- Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental studyIEEE Transactions on Evolutionary Computation, 2003