Continuous Loyalty-based Similarity Queries over Moving Objects

在许多关键的真实的应用中，对运动目标数据的有效处理有着很高的要求。该项目旨在开发，分析，实施和评估新的技术，有效地和有效地监测移动对象在真实的时间的基础上一种新的查询模型，忠诚度为基础的模型。预期成果包括新的索引，查询处理和近似技术，以及一组新的定理。预计该项目将大大有助于流和空间数据处理技术方面的大数据技术开发。

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.