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Fundamentals of Database Indexing and Searching

Autor Arnab Bhattacharya
en Limba Engleză Paperback – 16 noi 2016
Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity.
After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hierarchical disk-based index structures. He then outlines useful distance measures and index structures that use the distance information to efficiently solve similarity search queries. Focusing on the difficult dimensionality phenomenon, he also presents several indexing methods that specifically deal with high-dimensional spaces. In addition, the book covers data reduction techniques, including embedding, various data transforms, and histograms.
Through numerous real-world examples, this book explores how to effectively index and search for information in large collections of data. Requiring only a basic computer science background, it is accessible to practitioners and advanced undergraduate students.
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Specificații

ISBN-13: 9781138033955
ISBN-10: 1138033952
Pagini: 280
Ilustrații: 59
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Professional Practice & Development

Cuprins

Basics. Low-Dimensional Index Structures. Disk-Based Index Structures. Distances. High-Dimensional Spaces. Data Reduction Techniques. Appendices.

Recenzii

"The author analyzes a very large list of database indexing and searching techniques … the book can be consulted to get inspiration from state-of-the-art techniques for database indexing and searching."
Computing Reviews, August 2015

Descriere

Requiring only a basic computer science background, this book presents well-known database searching and indexing techniques. After defining database queries and similarity search queries, the book describes low-dimensional index structures, memory-based index structures, hierarchical disk-based index structures, useful distance measures, and index structures that use the distance information to efficiently solve similarity search queries. It also presents several indexing methods that specifically deal with high-dimensional spaces. In addition, the book covers data reduction techniques, including embedding, various data transforms, and histograms.