A self-organizing database system monitors relational queries and automatically selects secondary indices to minimize the average query cost. This work explores query optimization, selectivity estimation, and recording query frequencies, offering practical methods and formal analysis.
The book frames a dynamic approach to database tuning. It explains why large systems benefit from automatic restructuring and shows how to balance speed with accuracy across evolving workloads. Readers will see how theory translates into algorithms that adapt to real data and usage patterns.
- Learn how the system analyzes queries to pick index sets that reduce overall cost.
- See methods for estimating how many records satisfy conditions and how often queries occur.
- Explore two algorithms for optimal index selection and their trade-offs.
- Understand how converting queries to CNF helps compute efficient evaluation plans.
Ideal for readers of database research and practitioners seeking automatic, data-driven tuning in large relational systems.
"synopsis" may belong to another edition of this title.
Gregory Piatetsky-Shapiro is Senior Member of Technical Staff and Principal Investigator of the Knowledge Discovery Project at GTE Laboratories.
"About this title" may belong to another edition of this title.
Seller: Forgotten Books, London, United Kingdom
Paperback. Condition: New. Print on Demand. This book explores the emerging field of self-organizing database systems. In a world of rapidly growing, complex databases, the author proposes a novel approach that takes database management systems out of the realm of manual maintenance and into automated self-improvement. Through the application of advanced mathematical formulas, this book enables databases to evolve, improving their own efficiency and effectiveness over time. The insights gained from this new approach have the potential to revolutionize the field of database management, opening up new possibilities for data storage, management, and analysis. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781333453138_0
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781333453138
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781333453138
Quantity: 15 available