@inproceedings{975821c440d649dfad446fbaa28d5b90,
title = "RTMatch: Real-time location prediction based on trajectory pattern matching",
abstract = "Due to the universality of mobile devices, such as GPS and the devices of location-based services, there is a growing number of mobile trajectory data. This provides the opportunities for innovation of analyzing trajectory and extracting information. We proposed a new method to predict next location of moving object - RTMatch. The main idea of the method is to store and query the trajectory frequency pattern (named T-pattern) of moving objects by designing a data structure - RTPT (Real Time Pattern Tree) and HT (Hash Table) contains the spatio-temporal information, and then find a best matched path on the tree (the best T-pattern matches the trajectory to be predicted). The RTMatch can provide real-time analysis during the on the fly processing. Experiments on the actual data prove that our method is more accuracy and efficiency than some existing methods.",
keywords = "Location prediction, Real time, Spatio-temporal data mining, Trajectory pattern",
author = "Dong Zhenjiang and Deng Jia and Jiang Xiaohui and Wang Yongli",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; International Workshops on Database Systems for Advanced Applications, DASFAA 2017, 4th International Workshop on Big Data Management and Service, BDMS 2017, 2nd Workshop on Big Data Quality Management, BDQM 2017, 4th International Workshop on Semantic Computing and Personalization, SeCoP 2017, 1st International Workshop on Data Management and Mining on MOOCs, DMMOOC 2017 ; Conference date: 27-03-2017 Through 30-03-2017",
year = "2017",
doi = "10.1007/978-3-319-55705-2_8",
language = "English (US)",
isbn = "9783319557045",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "103--117",
editor = "Lijun Chang and Goce Trajcevski and Wen Hua and Zhifeng Bao",
booktitle = "Database Systems for Advanced Applications - DASFAA 2017 International Workshops",
address = "Germany",
}