Giuseppe Amato – författare

The area of similarity searching is a very hot topic for both research and c- mercial applications. Current data processing applications use data with c- siderably less structure and much less precise queries than traditional database systems. Examples are multimedia data like images or videos that offer query by example search, product catalogs that provide users with preference based search, scientific data records from observations or experimental analyses such as biochemical and medical data, or XML documents that come from hetero- neous data sources on the Web or in intranets and thus does not exhibit a global schema. Such data can neither be ordered in a canonical manner nor meani- fully searched by precise database queries that would return exact matches. This novel situation is what has given rise to similarity searching, also - ferred to as content based or similarity retrieval. The most general approach to similarity search, still allowing construction of index structures, is modeled in metric space. In this book. Prof. Zezula and his co authors provide the first monograph on this topic, describing its theoretical background as well as the practical search tools of this innovative technology.

The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas. Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed.

This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019. The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected from 42 submissions.

While inguinal hernia is a widespread disease and hernia repair accounts for the most frequently performed surgical procedure, these two aspects have been unsatisfactorily investigated, so that to date there is no shared hypothesis on how visceral protrusion through inguinal barrier occur.

While inguinal hernia is a widespread disease and hernia repair accounts for the most frequently performed surgical procedure, these two aspects have been unsatisfactorily investigated, so that to date there is no shared hypothesis on how visceral protrusion through inguinal barrier occur.

This book constitutes the refereed proceedings of the 18th International Conference on Similarity Search and Applications, SISAP 2025, held in Reykjavik, Iceland, during October 2025.The 18 full papers and 9 short papers included in the proceedings were carefully reviewed and selected from 58 submissions. The book also contains 2 Doctoral Symposium papers, 3 demonstration papers, and 5 indexing challenge papers. The contributions were organized in the following topical sections: Applications; Foundations; Search and Retrieval; Similarity Measures; Clustering; Indexing; Learning-Based Methods; Doctoral Symposium; Demonstration Papers; and Indexing Challenge.