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| 1 | Helicobacter pyloriinfec-tionand the development of gastric cancer显示文摘 | Naomi U Shiro O Soichiro Y | 2001 | N Engl J Med2001，345，11： | 1 |
| 2 | Sperm motility, plasma membrane integrity, and binding capacity to homologous zona pellucida of cryopreservedepididymal spermatozoa in the domestic cat 显示文摘 | Naomi K Ryo Y Ryuhei U | 2005 | Journal of Reproduction and Development2005，51，6： | 1 |
| 3 | Nitrogen dynamics in paddy soil applied with various 15 N-labelled green manures显示文摘 | Naomi A Hideto U | 2009 | Plant and Soil2009，322，12： | 1 |
| 4 | Helicobacter pylorl infection and the development of gastric cancer显示文摘 | Naomi U Shiro O Soichiro Y | 2001 | N Engl J Med2001，345，11： | 1 |
| 5 | The effect of Tochu bark on bone metabolism in the rat model with ovariectomized osteoporosis 显示文摘 | Li Jing J I U Naomi Morikawa Naomi O M I | 1994 | Nutritional Science and Vitaminology1994，40，3： | 1 |
| 6 | Inceeased expression of CD44V6 mRNA significantly correlates with distant metastasts and poorprognesis in gastriccancer显示文摘 | Keigo Y Yoshihiko U Naomi K | 1998 | Int J Cancer(pred Oncol)1998，79，3： | 1 |
| 7 | Helicobacter pylori infec- tion and the development of gastric cancer显示文摘 | Naomi U Shiro O Soichiro Y | 2001 | N Engl J Med2001，345，11： | 1 |
| 8 | Sperm motility,plasma membrane integrity,and binding capacity to homologous zona pellucida of cryoprcservedepididymal spermatozoa in the domestic cat显示文摘 | Naomi K Ryo Y Ryuhei U | 2005 | Journal of Reproduction and Development2005，51，6： | 1 |
| 9 | Buserelin acetate microparticle dispersion effects drug release and plasma E1 levels显示文摘 | Makiko U Kazumasa M Naomi Y | 2007 | International Journal of Pharmaceutics2007，339，12： | 1 |
| 10 | Akira uen studies on differentiation inducer显示文摘 | Naomi S Hiroko S | 1995 | Vchem Pharm Bull1995，43，9： | 1 |
| 11 | Buserelin acetate microparticle dispersion effects drug release and plasma El levels显示文摘 | Makiko U Kazumasa M Naomi Y | 2007 | International Journal of Pharmaceutics2007，339，12： | 1 |
| 12 | Risk factor pro- files, drug usage, and prevalence of aspirin-associated gas- troduodenal injuries among high-risk cardiovascular Japanese patients:The results from the MAGIC study 显示文摘 | Naomi U Kentaro S Hideyuki H | 2014 | Jouornal of Gastroenterology2014，49，5： | 1 |
| 13 | Drift DetectionMethod Using DistanceMeasures and Windowing Schemes for Sentiment Classification显示文摘Textual data streams have been extensively used in practical applications where consumers of online products have expressed their views regarding online products.Due to changes in data distribution,commonly referred to as concept drift,mining this data stream is a challenging problem for researchers.The majority of the existing drift detection techniques are based on classification errors,which have higher probabilities of false-positive or missed detections.To improve classification accuracy,there is a need to develop more intuitive detection techniques that can identify a great number of drifts in the data streams.This paper presents an adaptive unsupervised learning technique,an ensemble classifier based on drift detection for opinion mining and sentiment classification.To improve classification performance,this approach uses four different dissimilarity measures to determine the degree of concept drifts in the data stream.Whenever a drift is detected,the proposed method builds and adds a new classifier to the ensemble.To add a new classifier,the total number of classifiers in the ensemble is first checked if the limit is exceeded before the classifier with the least weight is removed from the ensemble.To this end,a weighting mechanism is used to calculate the weight of each classifier,which decides the contribution of each classifier in the final classification results.Several experiments were conducted on real-world datasets and the resultswere evaluated on the false positive rate,miss detection rate,and accuracy measures.The proposed method is also compared with the state-of-the-art methods,which include DDM,EDDM,and PageHinkley with support vector machine(SVM)and Naive Bayes classifiers that are frequently used in concept drift detection studies.In all cases,the results show the efficiency of our proposed method. | Idris Rabiu Naomie Salim Maged Nasser Aminu Da’u Taiseer Abdalla Elfadil Eisa Mhassen Elnour Elneel Dalam | 2023 | Computers, Materials & Continua2023，，3： | 0 |
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