题名 |
A Pattern Search in Data Analysis |
作者 |
Chun-Hung Tzeng;Fu-Shing Sun |
关键词 |
Pattern-recognition ; Similarity ; Representative ; Heuristic-information |
期刊名称 |
International Journal of Electronic Commerce Studies |
卷期/出版年月 |
1卷2期(2010 / 12 / 01) |
页次 |
117 - 137 |
内容语文 |
英文 |
英文摘要 |
This paper introduces a probabilistic model of two-class pattern recognition. The measurable sets are defined by a similarity, which is a reflexive and symmetric binary relation. The heuristic information model is formulated by a type of data clustering called representative clustering. The heuristic information about a data record is a data subset containing the record, which is computed by comparing the record with all representative records. For the corresponding classifiers, both Bayes and Neyman-Pearson Theorems are proved in this paper. In application, the knowledge discovering process searches for similarity and representative clustering in a training data set. The evaluation is extended to records in a testing data set. The experiment shows the trade-off between the number of representatives and classifier performance. |
主题分类 |
基礎與應用科學 >
資訊科學 社會科學 > 經濟學 社會科學 > 財金及會計學 社會科學 > 管理學 |
参考文献 |
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