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

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 representati...

Full description

Main Authors: Murty, M.N. (Author, http://id.loc.gov/vocabulary/relators/aut), Biswas, Anirban. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
Subjects:
Online Access:https://doi.org/10.1007/978-3-030-24713-3
LEADER 03014nam a22005055i 4500
001 978-3-030-24713-3
003 DE-He213
005 20210622144607.0
007 cr nn 008mamaa
008 190814s2019 gw | s |||| 0|eng d
020 |a 9783030247133  |9 978-3-030-24713-3 
024 7 |a 10.1007/978-3-030-24713-3  |2 doi 
050 4 |a Q325.5-.7 
050 4 |a TK7882.P3 
072 7 |a UYQM  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQM  |2 thema 
082 0 4 |a 006.31  |2 23 
100 1 |a Murty, M.N.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Centrality and Diversity in Search  |h [electronic resource] :  |b Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition /  |c by M.N. Murty, Anirban Biswas. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a XI, 94 p. 17 illus., 5 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,  |x 2196-548X 
505 0 |a Introduction -- Searching -- Representation -- Clustering and Classification -- Ranking -- Centrality and Diversity in Social and Information Networks -- Conclusion. 
520 |a 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. . 
650 0 |a Machine learning. 
650 0 |a Pattern recognition. 
650 1 4 |a Machine Learning.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I21010 
650 2 4 |a Pattern Recognition.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 
700 1 |a Biswas, Anirban.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783030247126 
776 0 8 |i Printed edition:  |z 9783030247140 
830 0 |a SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,  |x 2196-548X 
856 4 0 |u https://doi.org/10.1007/978-3-030-24713-3 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)