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您的检索式：作者名="G D OLLE OLLE"
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| 1 | 基于在线客户评论的客户细分研究显示文摘针对基于在线客户评论数据进行客户细分分析的问题,设计了二阶段客户细分分析框架。在客户偏好建模阶段,设计了同义属性识别方法和属性偏好换算方法,基于产品属性树结构,构建粒度统一的客户偏好向量;在客户聚类阶段,设计了包含最优聚类数识别的聚类流程,基于模糊C均值聚类方法,对客户进行聚类。 | 蔡淑琴 蒋士淼 G D OLLE OLLE 秦志勇 | 2015 | 管理学报2015，12，7： | 9 |
| 2 | Epidemiologic characteristics of Helicobacter pylori infection in southeast Hungary显示文摘BACKGROUND Epidemiologic studies have revealed a decrease in the prevalence of Helicobacter pylori(H.pylori)infection in Western Europe.AIM To obtain data regarding the prevalence of H.pylori in Csongrád and Békés Counties in Hungary,evaluate the differences in its prevalence between urban and rural areas,and establish factors associated with positive seroprevalence.METHODS One-thousand and one healthy blood donors[male/female:501/500,mean age:40(19–65)years]were enrolled in this study.Subjects were tested for H.pylori IgG antibody positivity via enzyme-linked immunosorbent assay.Subgroup analysis by age,gender,smoking habits,alcohol consumption,and urban vs nonurban residence was also performed.RESULTS The overall seropositivity of H.pylori was 32%.It was higher in males(34.93%vs 29.2%,P=0.0521)and in rural areas(36.2%vs 27.94%,P=0.0051).Agricultural/industrial workers were more likely to be positive for infection than office workers(38.35%vs 30.11%,P=0.0095)and rural subjects in Békés County than those in Csongrád County(43.36%vs 33.33%,P=0.0015).CONCLUSION Although the prevalence of H.pylori infection decreased in recent decades in Southeast Hungary,it remains high in middle-aged rural populations.Generally accepted risk factors for H.pylori positivity appeared to be valid for the studied population. | Lenke Bálint Andrea Tiszai Gábor Kozák Ilona Dóczi Veronika Szekeres Orsolya Inczefi Georgina Ollé Krisztina Helle Richárd Róka András Rosztóczy | 2019 | World Journal of Gastroenterology2019，25，42： | 5 |
| 3 | 基于人工神经网络的微博投诉句识别显示文摘近年来,微博投诉成为用户维权的新途径。面对海量微博投诉,企业如何在有限资源下实现微博投诉自动诊断和处理,引发了学术和业界的高度关注。微博投诉句识别是微博投诉自动化处理的前提。本文针对微博投诉句识别问题,设计了微博投诉句识别框架,提出了投诉句识别的MCSI模型;应用人工神经网络方法,基于投诉信息特征、语句位置、句式、句长、词频5个属性,识别语句是否为投诉句。与多种基线模型相比,本文提出的模型可以提高投诉句识别性能。 | 蔡淑琴 蒋士淼 秦志勇 G D Olle Olle | 2014 | 情报学报2014，33，11： | 1 |
| 4 | Dynamic Security Context Management in Grid--based Applications 显示文摘 | Yuri D Olle M Leon G | 2008 | Future Generation Computer Systems2008，24，5： | 1 |
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