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Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

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(SpringerBriefs in Intelligent Systems) 1st ed. 2019 edition

by M.N. Murty (Author), Anirban Biswas (Author) 

The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification.

The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.

Year 2019
Pages 100
Language English
Format PDF
Size 2 MB
ISBN-10 3030247120
ISBN-13 978-3030247126
ASIN B07WGSJKCH