Chapter title | An analysis of missing data treatment methods and their application to health care dataset |
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Authors | Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. |
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Editors | Li, X., Wang, S. and Dong, Z.Y. |
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Abstract | It is well accepted that many real-life datasets are full of missing data. In this paper we introduce, analyze and compare several well known treatment methods for missing data handling and propose new methods based on Naive Bayesian classifier to estimate and replace missing data. We conduct extensive experiments on datasets from UCI to compare these methods. Finally we apply these models to a geriatric hospital dataset in order to assess their effectiveness on a real-life dataset. |
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Book title | Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005: proceedings |
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Year | 2005 |
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Publisher | Springer |
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Publication dates |
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Published | 2005 |
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Place of publication | Berlin, Germany |
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Series | Lecture notes in computer science. Lecture notes in artificial intelligence |
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ISBN | 354027894X |
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ISSN | 0302-9743 |
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Digital Object Identifier (DOI) | https://doi.org/10.1007/11527503_69 |
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Journal citation | (3584), pp. 583-590 |
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Journal | Lecture Notes in Computer Science |
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