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A Case Study on Machine Learning Applications and Performance Improvement in Learning Algorithm
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  • Journal title : Journal of Digital Convergence
  • Volume 14, Issue 2,  2016, pp.245-258
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2016.14.2.245
 Title & Authors
A Case Study on Machine Learning Applications and Performance Improvement in Learning Algorithm
Lee, Hohyun; Chung, Seung-Hyun; Choi, Eun-Jung;
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This paper aims to present the way to bring about significant results through performance improvement of learning algorithm in the research applying to machine learning. Research papers showing the results from machine learning methods were collected as data for this case study. In addition, suitable machine learning methods for each field were selected and suggested in this paper. As a result, SVM for engineering, decision-making tree algorithm for medical science, and SVM for other fields showed their efficiency in terms of their frequent use cases and classification/prediction. By analyzing cases of machine learning application, general characterization of application plans is drawn. Machine learning application has three steps: (1) data collection; (2) data learning through algorithm; and (3) significance test on algorithm. Performance is improved in each step by combining algorithm. Ways of performance improvement are classified as multiple machine learning structure modeling, machine learning structure modeling, and so forth.
machine learning classification;machine learning modeling;performance improvement;optimization;
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