Abstract
Intellectual Capital (IC) is considered as an intangible asset of an organization and further it is used as the measure of organizational assets in some organizations in Europe and Australia. Nevertheless, the study of IC was not extensively investigated in Thailand. The objective of this paper was to apply a data mining technique, association rule to mine data collected from target organizations. In this study, public and private organizations located in the central part of Thailand were surveyed on their Intellectual Capital characteristics. These target organizations were divides into three classes: low, average, high according to their IC scores. Then, association rule algorithm, Apriori was applied to find the relationships of 24 attributes in each IC Class. Results of association rule mining were reported. The implication of this model was also suggested.
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Srivihok, A. (2009). Association Rule Mining for Intellectual Capital of Enterprises in Central Region of Thailand. In: Papasratorn, B., Chutimaskul, W., Porkaew, K., Vanijja, V. (eds) Advances in Information Technology. IAIT 2009. Communications in Computer and Information Science, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10392-6_17
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DOI: https://doi.org/10.1007/978-3-642-10392-6_17
Publisher Name: Springer, Berlin, Heidelberg
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