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Emmert-Streib, Frank
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Mathematical foundations of data science using R (2nd ed.)
Emmert-Streib F., Moutari S., Dehmer M., DE GRUYTER, Berlin, Germany, 2022. 408 pp. Type: Book (3110795884)
Data science aims to extract relevant information from a large dataset for the purpose of decision making. Data science algorithms rely on several mathematical topics. Computationally, these algorithms can be implemented using several programming ...
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Feb 14 2023
Big data of complex networks
Dehmer M., Emmert-Streib F., Pickl S., Holzinger A., Chapman & Hall/CRC, Boca Raton, FL, 2016. 332 pp. Type: Book (978-1-498723-61-9), Reviews: (3 of 3)
As mentioned in the preface, big data affects every scientist and every domain. This edited book aims at filling gaps in the area of big data of complex networks, from a computer scientist, statistician, and mathematician perspective. ...
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Nov 8 2019
Quantitative graph theory
Dehmer M., Emmert-Streib F., Shi Y. Information Sciences 418(C): 575-580, 2017. Type: Article
In this paper, the authors provide a description of quantitative graph theory, which is a relatively new branch of graph theory. The key feature of this branch is its measurement approach to quantifying the structural information of ne...
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Mar 14 2019
Big data of complex networks
Dehmer M., Emmert-Streib F., Pickl S., Holzinger A., Chapman & Hall/CRC, Boca Raton, FL, 2016. 332 pp. Type: Book (978-1-498723-61-9), Reviews: (2 of 3)
Big data is currently one of the hottest topics in every field. With the advances of computing and networking and with more complex human interactions and activities, big data can only become bigger and more important. How to tame this...
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Jan 3 2018
Big data of complex networks
Dehmer M., Emmert-Streib F., Pickl S., Holzinger A., Chapman & Hall/CRC, Boca Raton, FL, 2016. 332 pp. Type: Book (978-1-498723-61-9), Reviews: (1 of 3)
The rapid growth of online information systems, the ease of collecting data across many users, and the potential commercial value of learning about those users have led to growing interest in methods that address data characterized by ...
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Sep 26 2017
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