loading
Papers

Research.Publish.Connect.

Paper

Author: Andrea Vassilev

Affiliation: CEA and LETI, France

ISBN: 978-989-758-293-6

Keyword(s): Context Awareness, Transportation Mode, Data Mining, Classification, Smartphone, Sensors, Principal Component Analysis, Mahalanobis Distance, Linear Discriminant Analysis.

Abstract: The recent increase in processing power and in the number of sensors present in today’s mobile devices leads to a renewed interest in context-aware applications. This paper focuses on a particular type of context, the transportation mode used by a person or freight, and adequate methods for automatically classifying transportation mode from smartphone embedded sensors. This classification problem is generally solved by a searching process which, given a set of design choices relative to sensors, feature selection, classifier family and hyper parameters, etc., find an optimal classifier. This process can be very time consuming, due to the number of design choices, the number of training phases needed for a cross validation step and the time necessary for one training phase. In this paper, we propose to simplify this problem by applying three data mining tools - Principal Component Analysis, Mahalanobis distance and Linear Discriminant Analysis - in order to clean the data, simplify the problem and finally speed up the searching process. We illustrate the different tools on the transportation mode classification problem. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.171.45.91

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Vassilev, A. (2018). Data Mining Applied to Transportation Mode Classification Problem.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 36-46. DOI: 10.5220/0006633300360046

@conference{vehits18,
author={Andrea Vassilev.},
title={Data Mining Applied to Transportation Mode Classification Problem},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={36-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006633300360046},
isbn={978-989-758-293-6},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Data Mining Applied to Transportation Mode Classification Problem
SN - 978-989-758-293-6
AU - Vassilev, A.
PY - 2018
SP - 36
EP - 46
DO - 10.5220/0006633300360046

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.