http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An Empirical Study of Qualities of Association Rules from a Statistical View Point
Dorn, Maryann,Hou, Wen-Chi,Che, Dunren,Jiang, Zhewei Korea Information Processing Society 2008 Journal of information processing systems Vol.4 No.1
Minimum support and confidence have been used as criteria for generating association rules in all association rule mining algorithms. These criteria have their natural appeals, such as simplicity; few researchers have suspected the quality of generated rules. In this paper, we examine the rules from a more rigorous point of view by conducting statistical tests. Specifically, we use contingency tables and chi-square test to analyze the data. Experimental results show that one third of the association rules derived based on the support and confidence criteria are not significant, that is, the antecedent and consequent of the rules are not correlated. It indicates that minimum support and minimum confidence do not provide adequate discovery of meaningful associations. The chi-square test can be considered as an enhancement or an alternative solution.
Utilizing Fragmented Bandwidth in a Staggered Striping Multimedia System
Hou, Wen-Chi,Pan, Yang,Che, Dunren Korea Information Processing Society 2008 Journal of information processing systems Vol.4 No.1
In this paper, we discuss the use of fragmented bandwidth to improve the performance of staggered striping in a multimedia system. It is observed that potential disruptions can occur when nonconsecutive idle disks are used for displaying multimedia objects. We have identified useful retrieval patterns and shown that with proper selections of fragmented disks and a simple buffering scheme, disruptions can be easily eliminated.
Approximate Clustering on Data Streams Using Discrete Cosine Transform
Yu, Feng,Oyana, Damalie,Hou, Wen-Chi,Wainer, Michael Korea Information Processing Society 2010 Journal of information processing systems Vol.6 No.1
In this study, a clustering algorithm that uses DCT transformed data is presented. The algorithm is a grid density-based clustering algorithm that can identify clusters of arbitrary shape. Streaming data are transformed and reconstructed as needed for clustering. Experimental results show that DCT is able to approximate a data distribution efficiently using only a small number of coefficients and preserve the clusters well. The grid based clustering algorithm works well with DCT transformed data, demonstrating the viability of DCT for data stream clustering applications.
Initial Factors Influencing Duration of Hospital Stay in Adult Patients With Peritonsillar Abscess
Yu-Hsi Liu,Hsing-Hao Su,Yi-Wen Tsai,Yu-Yi Hou,Kuo-Ping Chang,Chao-Chuan Chi,Ming-Yee Lin,Pi-Hsiung Wu 대한이비인후과학회 2017 Clinical and Experimental Otorhinolaryngology Vol.10 No.1
Objectives. To review cases of peritonsillar abscess and investigate the initial clinical factors that may influence the duration of hospitalization. To determine the predictive factors of prolonged hospital stay in adult patients with peritonsillar abscess. Methods. Subjects were adults hospitalized with peritonsillar abscess. We retrospectively reviewed 377 medical records from 1990 to 2013 in a tertiary medical center in southern Taiwan. The association between clinical characteristics and the length of hospital stay was analyzed with independent t-test, univariate linear regression and multiple linear regression analysis. Results. The mean duration of hospitalization was 6.2±6.0 days. With univariate linear regression, a prolonged hospital stay was associated with several variables, including female gender, older ages, nonsmoking status, diabetes mellitus, hypertension, band forms in white blood cell (WBC) counts, and lower hemoglobin levels. With multiple linear regression analysis, four independent predictors of hospital stay were noted: years of age (P<0.001), history of diabetes mellitus (P<0.001), ratio of band form WBC (P<0.001), and hemoglobin levels (P<0.001). Conclusion. In adult patients with peritonsillar abscess, older ages, history of diabetes mellitus, band forms in WBC counts and lower hemoglobin levels were independent predictors of longer hospitalization.
Neuroprotective Activity of Vitis thunbergii var. taiwaniana Extracts In Vitro and In Vivo
Chung-Kwe Wang,Lih-Geeng Chen,Chi-Luan Wen,Wen-Chi Hou,Ling-Fang Hung,Shish-Jung Yen,Yi-Jyun Shen,Shyr-Yi Lin,Yu-Chih Liang 한국식품영양과학회 2010 Journal of medicinal food Vol.13 No.1
Vitis thunbergii var. taiwaniana (VTT) is a wild grape native to Taiwan, where it has been used as a folk medicine. In this study, we found that the branch and leaf ethanol extracts of VTT significantly inhibited the inducible nitric oxide (NO) synthase protein expression and NO production in BV2 microglia. Using primary neuronal cells, kainic acid (KA) significantly increased hydrogen peroxide production in a dose-dependent manner. All four ethanol extracts of VTT significantly decreased hydrogen peroxide production. However, only root and branch ethanol extracts were able to prevent the neuronal cell death induced by KA in vitro. In the animal study, administration of all four plant part extracts of VTT delayed the onset of seizure and decreased the hippocampus neuronal cell loss, and the neuroprotective activity could be ranked as follows: branchleaf>root>trunk. The results suggest that VTT extracts have a potential to prevent neurodegeneration through the antioxidative activity by their ability to inhibit NO and hydrogen peroxide production.