Continuous Loyalty-based Similarity Queries over Moving Objects

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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.