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Graph Data Mining Algorithm, Security and Application /

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discove...

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Corporate Author: SpringerLink (Online service)
Other Authors: Xuan, Qi. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ruan, Zhongyuan. (Editor, http://id.loc.gov/vocabulary/relators/edt), Min, Yong. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Big Data Management,
Subjects:
Data mining.
Machine learning.
Data structures (Computer science).
Artificial intelligence.
Computer security.
Data Mining and Knowledge Discovery.
Machine Learning.
Data Structures and Information Theory.
Artificial Intelligence.
Privacy.
Online Access:https://doi.org/10.1007/978-981-16-2609-8

Internet

https://doi.org/10.1007/978-981-16-2609-8

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