Query Processing over Uncertain Databases

Lei Chen, Xiang Lian

• Publisher: Springer
• Year: 2022
• ISBN:
  9783031018961
• Topic: Informatica
• Subtopic: Reti di computer

Due to measurement errors, transmission lost, or injected noise for privacy protection, uncertainty exists in the data of many real applications. However, query processing techniques for deterministic data cannot be directly applied to uncertain data because they do not have mechanisms to handle data uncertainty. Therefore, efficient and effective manipulation of uncertain data is a practical yet challenging research topic. In this book, we start from the data models for imprecise and uncertain data, move on to defining different semantics for queries on uncertain data, and finally discuss the advanced query processing techniques for various probabilistic queries in uncertain databases. The book serves as a comprehensive guideline for query processing over uncertain databases. Table of Contents: Introduction / Uncertain Data Models / Spatial Query Semantics over Uncertain Data Models / Spatial Query Processing over Uncertain Databases / Conclusion

Table of contents

• Cover
• Copyright Page
• Title Page
• Contents
• Introduction
• Uncertain Data Models
• Spatial Query Semantics over Uncertain Data Models
• Spatial Query Processing over Uncertain Databases
• Conclusion
• Steps to Compute the Minimum Distance
• Bibliography
• Authors' Biographies