Similarity Search and Applications [electronic resource] : 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings / edited by Nora Reyes, Richard Connor, Nils Kriege, Daniyal Kazempour, Ilaria Bartolini, Erich Schubert, Jian-Jia Chen.
Contributor(s): Reyes, Nora [editor.] | Connor, Richard [editor.] | Kriege, Nils [editor.] | Kazempour, Daniyal [editor.] | Bartolini, Ilaria [editor.] | Schubert, Erich [editor.] | Chen, Jian-Jia [editor.] | SpringerLink (Online service).
Material type: BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 13058Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XIII, 410 p. 118 illus., 89 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030896577.Subject(s): Information storage and retrieval systems | Database management | Data mining | Machine learning | Application software | Information Storage and Retrieval | Database Management | Data Mining and Knowledge Discovery | Machine Learning | Computer and Information Systems Applications | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 025.04 Online resources: Click here to access onlineSimilarity Search and Retrieval -- Intrinsic Dimensionality -- Clustering and Classification -- Applications of Similarity Search -- Similarity Search in Graph-Structured Data -- Doctoral Symposium.
This book constitutes the refereed proceedings of the 14th International Conference on Similarity Search and Applications, SISAP 2021, held in Dortmund, Germany, in September/October 2021. The conference was held virtually due to the COVID-19 pandemic. The 23 full papers presented together with 5 short and 3 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in the topical sections named: Similarity Search and Retrieval; Intrinsic Dimensionality; Clustering and Classification; Applications of Similarity Search; Similarity Search in Graph-Structured Data; Doctoral Symposium.
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