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Changing Concepts of Farmers and Herdsmen
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作者 NAMGYI & ZHOU XIAOZHEN 《China's Tibet》 1996年第6期11-13,共3页
Changing Concepts of Farmers and HerdsmenChangingConceptsofFarmersandHerdsmen¥NAMGYI&ZHOUXIAOZHENPassers-byc... Changing Concepts of Farmers and HerdsmenChangingConceptsofFarmersandHerdsmen¥NAMGYI&ZHOUXIAOZHENPassers-bycaststrangeglances... 展开更多
关键词 changing concepts of Farmers and Herdsmen
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THRFuzzy:Tangential holoentropy-enabled rough fuzzy classifier to classification of evolving data streams 被引量:1
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作者 Jagannath E.Nalavade T.Senthil Murugan 《Journal of Central South University》 SCIE EI CAS CSCD 2017年第8期1789-1800,共12页
The rapid developments in the fields of telecommunication, sensor data, financial applications, analyzing of data streams, and so on, increase the rate of data arrival, among which the data mining technique is conside... The rapid developments in the fields of telecommunication, sensor data, financial applications, analyzing of data streams, and so on, increase the rate of data arrival, among which the data mining technique is considered a vital process. The data analysis process consists of different tasks, among which the data stream classification approaches face more challenges than the other commonly used techniques. Even though the classification is a continuous process, it requires a design that can adapt the classification model so as to adjust the concept change or the boundary change between the classes. Hence, we design a novel fuzzy classifier known as THRFuzzy to classify new incoming data streams. Rough set theory along with tangential holoentropy function helps in the designing the dynamic classification model. The classification approach uses kernel fuzzy c-means(FCM) clustering for the generation of the rules and tangential holoentropy function to update the membership function. The performance of the proposed THRFuzzy method is verified using three datasets, namely skin segmentation, localization, and breast cancer datasets, and the evaluated metrics, accuracy and time, comparing its performance with HRFuzzy and adaptive k-NN classifiers. The experimental results conclude that THRFuzzy classifier shows better classification results providing a maximum accuracy consuming a minimal time than the existing classifiers. 展开更多
关键词 data stream classification fuzzy rough set tangential holoentropy concept change
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Change of Customer Concept in Marketing Activities
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作者 Xun LI 《International English Education Research》 2014年第3期121-122,共2页
Marketing concept refers to the guiding ideology of correctly dealing with the interest relationship among enterprise, customers and society and also the fundamental standard for behaviors in the process of an enterpr... Marketing concept refers to the guiding ideology of correctly dealing with the interest relationship among enterprise, customers and society and also the fundamental standard for behaviors in the process of an enterprise to carry out all marketing activities in a certain period of time, production and business technology, and market environmental conditions. In this paper, the change of customer concept in marketing activities is mainly discussed. Therefore, this paper is of certain practical and guiding significance. 展开更多
关键词 Marketing Activities CUSTOMERS Definitions Change of Concept
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