NLPMM: A Next Location Predictor with Markov Modeling-Reference-Cited by-同舟云学术

NLPMM: A Next Location Predictor with Markov Modeling

Published:2014 Issue: Volume: Page:186-197
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Chen Meng,Liu Yang,Yu Xiaohui

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-06605-9_16

Reference16 articles.

1. Ben-Elia, E., Shiftan, Y.: Which road do i take? A learning-based model of route-choice behavior with real-time information. Transportation Research Part A: Policy and Practice 44(4), 249–264 (2010)

2. Chen, Z., Shen, H.T., Zhou, X.: Discovering popular routes from trajectories. In: ICDE, pp. 900–911 (2011)

3. Chen, Z., Shen, H.T., Zhou, X., Zheng, Y., Xie, X.: Searching trajectories by locations: an efficiency study. In: SIGMOD, pp. 255–266 (2010)

4. Ertoz, L., Steinbach, M., Kumar, V.: A new shared nearest neighbor clustering algorithm and its applications. In: SDM, pp. 105–115 (2002)

5. Froehlich, J., Krumm, J.: Route prediction from trip observations. SAE SP 2193, 53 (2008)

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