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Objective: To analyze the component law of Chinese medicines for osteonecrosis of the femeral head, and develop new prescriptions for osteonecrosis of the femeral head through unsupervised data mining methods. Methods: Chinese medicine recipes for osteonecrosis of the femeral head were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of...
Friendship prediction in social networks is useful for various applications, such as friend/place recommendation and privacy management. In this paper, we propose a friendship prediction approach by fusing the topology and geographical features in location based social networks (LBSNs). We investigate the features of users' relationship both online and offline and quantify the contributions of selected...
Using the cross-section data of Chinese non-financial listed companies from year 2001 to 2005, this paper investigates the effects of large shareholdings on firm value, as measured by Tobin's Q. Consistent to our theoretical expectation, there is a significant curvilinear relationship between large shareholdings and firm value. The results indicate that in the context of concentrated ownership, the...
This study theoretically analyzes and numerically explores the relationship between the physiological data and three diabetic microvascular complications: diabetic retinopathy, diabetic nephropathy, and diabetic neuropathy (foot problem). Method: The analysis results of 8,736 diabetic patients in northern Taiwan by using two data mining models: C5.0 and neural network were presented and compared....
The traditional data mining algorithms behaves undesirable in the instance of imbalanced data sets, as the distribution of the data sets is not taken into consideration when these algorithms are designed. This paper describes the Naive Bayes classification mechanism, and then points out that, random re-sampling methods not to be able to improve its performance. A negative-case-pruning Naive Bayes...
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