Continuous Loyalty-based Similarity Queries over Moving Objects

在许多关键的实际应用中，对高效的运动目标数据处理提出了很高的要求。该项目旨在开发、分析、实施和评估基于新颖查询模型的新技术，以有效和高效地实时监控移动物体，即基于忠诚度的模型。预期的结果包括新的索引、查询处理和近似技术，以及一组新的定理。该项目预计将为大数据流和空间数据处理技术的技术发展做出重大贡献。

Efficient moving object data processing is highly demanded in many key real applications. This project aims to develop, analyse, implement and evaluate novel techniques to effectively and efficiently monitor moving objects in real time based on a novel query model, loyalty based model. Anticipated outcomes include new indexing, query processing, and approximation techniques, as well as a set of novel theorems. The project is expected to significantly contribute to the technology development of big data regarding streaming and spatial-data processing techniques.