TY - GEN AB - This book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A Coruña, Spain, during October 9-11, 2023. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: similarity queries, similarity measures, indexing and retrieval, data management, feature extraction, intrinsic dimensionality, efficient algorithms, similarity in machine learning and data mining. AU - Pedreira, Oscar, AU - Estivill-Castro, Vladimir, CN - Z667 DO - 10.1007/978-3-031-46994-7 DO - doi ID - 1482724 KW - Recherche de l'information KW - Recherche de l'information électronique KW - Exploration de données (Informatique) KW - Structures de données (Informatique) KW - Espaces métriques KW - Information retrieval KW - Electronic information resource searching KW - Data mining KW - Data structures (Computer science) KW - Metric spaces LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46994-7 N1 - Includes author index. N2 - This book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A Coruña, Spain, during October 9-11, 2023. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: similarity queries, similarity measures, indexing and retrieval, data management, feature extraction, intrinsic dimensionality, efficient algorithms, similarity in machine learning and data mining. SN - 9783031469947 SN - 3031469941 T1 - Similarity search and applications :16th International Conference, SISAP 2023, A Coruña, Spain, October 9-11, 2023, Proceedings / TI - Similarity search and applications :16th International Conference, SISAP 2023, A Coruña, Spain, October 9-11, 2023, Proceedings / UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46994-7 VL - 14289 ER -