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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Data Science for Big Data Applications and Services: Data Lake Management, Data Analytics and Visuans and services in the real world. Data science applies database techniques, scientific and engineering methods, mathematical and statistical models, data mining algorithms, and/or machine learning tools to manage data, extract the useful information and discover the new knowledge from these big dat

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,Factors Affecting an Organization’s Information Security Performance: The Characteristics of Informan organizational risk. Various laws mandate that businesses employ information security officers with specialized knowledge, such a CPO, CIO, CSO, CISO, CPO, etc. Information security breaches affect general citizens as customers. However, despite the growing importance of information security offi

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An Empirical Investigation of Customer Loyalty in Chinese Smartphone Markets with Large-Scale Data:ile phone businesses, and the diffusion of smartphones expedites this trend at a rapid pace. Moreover, the shortened lifespan of smartphones makes it harder for smartphone companies to retain their customers for a long time. In this study, we aim to identify the antecedents of smartphone users’ sati

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Vertical Data Mining from Relational Data and Its Application to COVID-19 Data,are open data and are stored in relational databases. Embedded in these big data are valuable information and knowledge, which can be discovered by data mining. Frequent pattern mining is a popular data mining task within the realm of data science. In this paper, we present data science techniques f

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Big Data Analyses, Services, and Smart Data978-981-15-8731-3Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Ch. Lumenta,M. Bettag,A. Bertels,W. J. Bockmful and social environmental factors from 2015 to 2017 in Korea. We defined the cause of death by disease as a dependent variable and conducted analyses to derive related attributes. We used a multiple linear regression analysis and classification and regression tree models as analytical methods to