Similarity Search: The Metric Space Approach (Advances in Database Systems)
by Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, and Michal Batko
Sales Rank: 365255
Discount: 71 % $102.25 At Amazon
Hardcover: 220 pages
Publisher: Springer; 1 edition November 17, 2005
Language: English
ISBN-10: 0387291466
ISBN-13: 978-0387291468
Product Dimensions:
9.2 x 6.4 x 0.7 inches
Shipping Weight: 13.4 ounces
Book Description
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.
