• Journal of Information Processing Systems
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• v.9 no.3
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• pp.435-460
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• 2013

Recommender systems are popular applications that help users to identify items that they could be interested in. A recent research area on recommender systems focuses on detecting several kinds of inconsistencies associated with the user preferences. However, the majority of previous works in this direction just process anomalies that are intentionally introduced by users. In contrast, this paper is centered on finding the way to remove non-malicious anomalies, specifically in collaborative filtering systems. A review of the state-of-the-art in this field shows that no previous work has been carried out for recommendation systems and general data mining scenarios, to exactly perform this preprocessing task. More specifically, in this paper we propose a method that is based on the extraction of knowledge from the dataset in the form of rating regularities (similar to frequent patterns), and their use in order to remove anomalous preferences provided by users. Experiments show that the application of the procedure as a preprocessing step improves the performance of a data-mining task associated with the recommendation and also effectively detects the anomalous preferences.

• Korean Journal of Psychosomatic Medicine
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• v.5 no.1
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• pp.52-62
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• 1997

This study was designed to determine the frequency of premenstrual dysphoric disorder in gynecological outpatients, and also attempted to compare premenstrual change characteristics, functional impairment due to premenstrual changes and frequency of risk factors reported by women with confirmed premenstrual changes$(PMC^+)$(n=17) and those without confirmed premenstrual changes$(PMC^-)$(n=23). Forty gynecological outpatients who complained of premenstrual discomforts were asked to complete questionnaires on menstrual history, obstetric-gynecological history, and premenstrual change and functional impairment. The women were also asked to complete a daily rating form based on DSM-IV diagnostic criteria for one menstrual cycle. Absolute severity method, effect size method and percent change method were used to assess changes between follicular phase and luteal phase. The results of the study were as follows: 1) The frequency of premenstrual dysphoric disorder according to each of the three methods was 5% for the absolute severity method, 15% for the effect size method, and 27.5% for the percent change method. 2) The frequently reported symptoms were as follow: physical symptoms(64.7%) : lethargy, easy fatigability, or marked lack of energy(41.2%) : decreased interest in usual activities(29.4%) ; and marked affective lability(23.5%). 3) There were no significant differences in onset ages of premenstrual changes, regularities of premenstrual changes and changes of severity and duration of premenstrual symptoms over time between women with and without confirmed premenstrual changes. However, women with confirmed premenstrual changes reported both physical and emotional symptoms as earliest symptoms most frequently, while women without confirmed premenstrual changes reported only physical symptoms most frequently. 4) functional impairment was significantly higher in women with confirmed premenstrual changes than those without confirmed premenstrual changes, but impairment was not severe. 5) No differences were found between women with and without confirmed premenstrual changes in risk factors including demographic data, menstrual and obstetric and gynecological history. These results suggest that the prevalence of premenstrual dysphoric disorder varies with scoring methods. The women with confirmed premenstrual changes reported physical symptoms most frequently(64.7%). functional impairment was significantly higher in women with confirmed premenstrual changes, but impairment was not severe.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.1
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• pp.61-71
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• 1999

Objective : The purpose of this study was to assess the relationship between the premenstrual changes and stress perception in women with premenstrual changes($PMC^+$)(n=32) and those without premenstrual changes($PMC^-$)(n=62) by using prospective method. Method : The women who were older than 30 years of age and healthy were asked to complete a daily rating form based on DSM-IV diagnostic criteria for one menstrual cycle to assess the changes of psychological and physical symptoms across the menstrual cycle. They also completed 5-point likert scale to assess the perception of stress. Percent changes method was used to assess changes between follicular phase and luteal phase. Results : 1) No significant differences were found in demographic factors(age, education, marriage, employment) and risk factors(onset ages of menarche, regularities of premenstrual changes, duration of menstruation, cycle length, amount of menstruation, dysmenorrhea) between women with and without premenstrual changes. 2) There was a significant difference in mean luteal phase stress score between women with($1.92\pm0.63$) and without premenstrual changes($1.51\pm0.42$)(p<0.05). However no difference was found in mean follicular phase stress score between two groups($PMC^+$ : $1.67\pm0.43$, $PMC^-$ : $1.33\pm0.39$). 3) We divided women having premenstrual changes into two groups, higher stress group(stress score > 1.75(median)) and the lower stress group(stress score <1.75(median)). The higher stress group reported more luteal psychological symptoms than did the lower stress group(df=1, F=13.362, p<0.001). However, the groups did not differ in physical symptoms. Conclusion : In women with premenstrual changes, luteal stress score was higher than follicular stress score and this result suggested tha the perception of stress was related to psychological symptoms but not physical symptoms. These findings suggested that premenstrual change is associated with the stress level, and that it is important to manage the stress which is focused on the management of psychological symptom in the treamtment of prementrual syndrome.