Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering

Deep learning algorithm and location big data mining

Authors
FaQin Gao
Corresponding Author
FaQin Gao
Available Online November 2015.
DOI
10.2991/iccmcee-15.2015.167How to use a DOI?
Keywords
Machine learning; Data mining; Location big data (LBD); Deep learning algorithm (DLA); Deep neural network (DNN).
Abstract

In recent years, location big data (LBD) has become an important resource for intelligent transportation systems. LBD mining faces many serious questions, in order to tackle these questions, we introduce deep learning algorithm (DLA) into LBD mining. First, we explore the current research on deep neural networks (DNN) and DLA. Then, we design a framework that uses DLA in LBD mining from the view of probability. Finally, we provide some research trends of DLA after analysis.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
10.2991/iccmcee-15.2015.167
ISSN
2352-5401
DOI
10.2991/iccmcee-15.2015.167How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - FaQin Gao
PY  - 2015/11
DA  - 2015/11
TI  - Deep learning algorithm and location big data mining
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 904
EP  - 909
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.167
DO  - 10.2991/iccmcee-15.2015.167
ID  - Gao2015/11
ER  -