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[null,"1.","Record Nr.",null,"UNINA9910349399703321"]
[null,null,"Titolo",null,"Similarity Search and Applications : 11th International Conference, SISAP 2018, Lima, Peru, October 7–9, 2018, Proceedings / / edited by Stéphane Marchand-Maillet, Yasin N. Silva, Edgar Chávez"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"9783030022242"]
[{"$nulls":4},"3030022242"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 271 p. 66 illus.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 11223"]
[null,null,"Disciplina",null,"025"]
[{"$nulls":4},"025.04"]
[null,null,"Soggetti",null,"Information storage and retrieval systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Metric Search -- Visual Search -- Nearest Neighbor Queries -- Clustering and Outlier Detection -- Graphs and Applications -- Shared Session SISAP and SPIRE."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 11th International Conference on Similarity Search and Applications, SISAP 2018, held in Lima, Peru, in October 2018. The 16 full papers presented together with 3 short papers and 1 demonstration paper were carefully reviewed and selected from 31 submissions. The papers deal with issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. They are organized in the following topical sections: metric search; visual "]
[{"$nulls":4},"search; nearest neighbor queries; clustering and outlier detection; graphs and applications; and shared session SISAP and SPIRE."]