Multi-dimensional features models and compacted clustering for ILBD (Indoor Location Big Data)

Author:

Lin Wenliang1,Deng Zhongliang1,Li Xueming1,Fang Qin2,Li Ning1,Wang Ke1

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

2. Beijing Sylincom Technology Limited Company, Beijing, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference23 articles.

1. A down-to-earth cloud computing: Location-based service;Li;Acta Electronica Sinica,2014

2. Value extraction and collaborative mining methods for location big data;Guo;Journal of Software,2014

3. Top-k spatio-textual similarity join;Hu;IEEE Transactions on Knowledge and Data Engineering,2016

4. Representation and organization for spatial data in LBS;Wang;Journal of Earth Science,2014

5. Estimating users’ home and work locations leveraging large-scale crowd-sourced smartphone data;Liu;IEEE Communications Magazine,2015

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1. An integrated GPS/vision UAV navigation system based on Kalman filter;2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS);2020-03

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