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Centrality and Diversity in Search

Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

Paperback Engels 2019 9783030247126
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

 

Specificaties

ISBN13:9783030247126
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

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Inhoudsopgave

<p>Introduction</p>

<p>Searching</p>

<p>Representation</p>

<p>Clustering and Classification</p>

<p>Ranking</p>

<p>Centrality and Diversity in Social and Information Networks</p>

<p>Conclusion</p>

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        Centrality and Diversity in Search