Titlebook: Big Data Analyses, Services, and Smart Data; Wookey Lee,Carson K. Leung,Aziz Nasridinov Conference proceedings 2021 Springer Nature Singap

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書目名稱Big Data Analyses, Services, and Smart Data影響因子(影響力)




書目名稱Big Data Analyses, Services, and Smart Data影響因子(影響力)學(xué)科排名




書目名稱Big Data Analyses, Services, and Smart Data網(wǎng)絡(luò)公開度




書目名稱Big Data Analyses, Services, and Smart Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data Analyses, Services, and Smart Data被引頻次




書目名稱Big Data Analyses, Services, and Smart Data被引頻次學(xué)科排名




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書目名稱Big Data Analyses, Services, and Smart Data年度引用學(xué)科排名




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書目名稱Big Data Analyses, Services, and Smart Data讀者反饋學(xué)科排名

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H.-G. H?llerhage,K.-M. Dewenter,H. Dietzg data are analyzed with an aim to discover interesting knowledge and information, which is usually presented in text or table form. Consistent with a proverb that “a picture is worth a thousand words”, big data visualization as well as visual analytics helps to reveal and explain the discovered int

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Tim Wehner,Kanjana Unnwongse,J?rg Wellmerwe compared the leading smartphone brands in China (i.e., Apple, Samsung, and Xiaomi) in terms of customer switching, and found that different strategic focuses of those companies on hardware, software, and service have dissimilar impacts on CS&L.

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震驚

Data Science for Big Data Applications and Services: Data Lake Management, Data Analytics and Visuag data are analyzed with an aim to discover interesting knowledge and information, which is usually presented in text or table form. Consistent with a proverb that “a picture is worth a thousand words”, big data visualization as well as visual analytics helps to reveal and explain the discovered int

煩擾

An Empirical Investigation of Customer Loyalty in Chinese Smartphone Markets with Large-Scale Data:we compared the leading smartphone brands in China (i.e., Apple, Samsung, and Xiaomi) in terms of customer switching, and found that different strategic focuses of those companies on hardware, software, and service have dissimilar impacts on CS&L.

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CULP

Johannes Sarnthein,Lukas Imbachor vertical data mining—in particular, vertical mining of frequently occurring patterns—from these relational data. For illustration, we discuss applications of the vertical data mining for the discovery of knowledge and useful information from real-life epidemiological data about coronavirus disease 2019 (COVID-19) and economic data.

使成整體

Ch. Lumenta,M. Bettag,A. Bertels,W. J. Bockth by disease, while harmful materials and facilities have positive correlations. Through this study, we hope that people will recognize the importance of protecting the natural environment and the risks of harmful substances.