Similarity Search: The Metric Space Approach

Name: Similarity Search: The Metric Space Approach
Rating: 3 (1 reviews)

Pavel Zezula · Giuseppe Amato · Vlastislav Dohnal · Michal Batko

2006년 6월 · Advances in Database Systems 32권 · Springer Science & Business Media

3.0

리뷰 1개

eBook

220

페이지

검증되지 않은 평점과 리뷰입니다. 자세히 알아보기

eBook 정보

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.