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Vol.21 No.4
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A Study on the Frequency Level Preference Tendency of Association Measures

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2004, v.21 no.4, pp.281-294
https://doi.org/10.3743/KOSIM.2004.21.4.281

(2004). A Study on the Frequency Level Preference Tendency of Association Measures. Journal of the Korean Society for Information Management, 21(4), 281-294, https://doi.org/10.3743/KOSIM.2004.21.4.281
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Abstract

Association measures are applied to various applications, including information retrieval and data mining. Each association measure is subject to a close examination to its tendency to prefer high or low frequency level because it has a significant impact on the performance of applications. This paper examines the frequency level preference(FLP) tendency of some popular association measures using artificially generated cooccurrence data, and evaluates the results. After that, a method of how to adjust the FLP tendency of major association measures such as cosine coefficient is proposed. This method is tested on the cooccurrence-based query expansion in information retrieval and the result can be regarded as promising the usefulness of the method. Based on these results of analysis and experiment, implications for related disciplines are identified.

keywords
연관성척도, 동시출현분석, 정보검색, 데이터마이닝Association Measures, Cooccurrence Analysis, Information Retrieval, Data Mining

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