Arnab Bhattacharya - Fundamentals of Database Indexing and Searching [2014, PDF, ENG] torrent

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Fundamentals of Database Indexing and Searching

Год: 2014
Автор: Arnab Bhattacharya
Издательство: Chapman and Hall/CRC
ISBN: 978-1466582545
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 280

Описание: 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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[spoiler="Оглавление"]
Summary
List of Figures xix
List of Tables xxi
List of Key Concepts xxiii
List of Examples xxv
Preface xxvii
Acknowledgments xxxi
I Basics 1
1 Database Queries 3
II Low-Dimensional Index Structures 13
2 Hashing 15
3 Memory-Based Index Structures 33
III Disk-Based Index Structures 59
4 Hierarchical Structures 61
IV Distances 93
5 Distance Functions 95
6 Distance-Based Structures 111
V High-Dimensional Spaces 139
7 Curse of Dimensionality 141
8 High-Dimensionality Structures 149
VI Data Reduction Techniques 175
9 Dimensionality Reduction Techniques 177
10 Data Representation Techniques 201
Appendices 215
A Memory and Disk Accesses 217
B Distances of Bounding Boxes 223
C Vectors and Matrices 227
D Probability and Statistics 231
Bibliography 235
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