Abstract
Many fields of research suffer from incomplete data. In marketing the problem of incomplete information is particularly important as data losses occur quite frequently. In practice, researchers using various methods deal with this problem in many less or more satisfactory ways. This paper validates the use of SOM (Self-Organizing Map) in estimating missing data in a marketing field and refers to another non-trivial method of handling missing values called expectation maxi-mization (EM).
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Grabowski, M. (2005). Handling Missing Values in Marketing Research Using SOM. In: Baier, D., Wernecke, KD. (eds) Innovations in Classification, Data Science, and Information Systems. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26981-9_37
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DOI: https://doi.org/10.1007/3-540-26981-9_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23221-6
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