TY  - BOOK
AU  - 
AU  - 
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Similarity Search The Metric Space Approach
T2  - Advances in Database Systems,
SN  - 9780387291512
AV  - QA76.9.D3 
U1  - 005.74 23
PY  - 2006///
CY  - Boston, MA
PB  - Springer US
KW  - Computer science
KW  - Data structures (Computer science)
KW  - Computer files
KW  - Database management
KW  - Information storage and retrieval systems
KW  - Computer Science
KW  - Database Management
KW  - Data Storage Representation
KW  - Data Structures
KW  - Information Storage and Retrieval
KW  - Files
N1  - Metric Searching in a Nutshell -- Foundations of Metric Space Searching -- Survey of Existing Approaches -- Metric Searching in Large Collections of Data -- Centralized Index Structures -- Approximate Similarity Search -- Parallel and Distributed Indexes; ZDB-2-SCS
N2  - In the Information Society, information holds the master key to economic influence. Similarity Search: The Metric Space Approach will focus on efficient ways to locate user-relevant information in collections of objects, the similarity of which is quantified using a pairwise distance measure. This book is a direct response to recent advances in computing, communications and storage which have led to the current flood of digital libraries, data warehouses and the limitless heterogeneity of internet resources. Similarity Search: The Metric Space Approach will introduce state-of-the-art in developing index structures for searching complex data modeled as instances of a metric space. This book consists of two parts. Part 1 presents the metric search approach in a nutshell by defining the problem, describes major theoretical principals, and provides an extensive survey of specific techniques for a large range of applications. Part 2 concentrates on approaches particularly designed for searching in very large collections of data. Similarity Search: The Metric Space Approach is designed for a professional audience, composed of academic researchers as well as practitioners in industry. This book is also suitable as introductory material for graduate-level students in computer science
UR  - http://dx.doi.org/10.1007/0-387-29151-2
ER  -