Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/59886
Title: A study of periodic behaviors
Authors: Doan Manh, Hiep
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Issue Date: 2014
Abstract: The last few years have witnessed an increasing popularity of smartphones with full GPS capability onboard, which results in the collection of large spatial-temporal datasets and the opportunity of discovering useful information on people movement behavior to foster innovative location services. Understanding period behaviors plays the key role in mining people movements. Nevertheless, sequential pattern mining could be complicated, considering multiple periodic behaviors, interleaving periods, spatial-temporal noises and outliers. In this project, we propose a novel approach to first detect periods in complex movements by finding reference locations with interpolated GPS data using kernel density estimation and their associated periods using Fourier transform and autocorrelation. At the second stage, a periodic mobility model is proposed to characterize the periodic behaviors. It is our belief that the model is directly applicable in mining periodic behaviors for moving users of telecommunication companies with their GPS data or moving users of location-based social networks with their check-in data.
URI: http://hdl.handle.net/10356/59886
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
DOAN MANH HIEP_FYP_REPORT_2013_2014.pdf
  Restricted Access
FYP Report1.55 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.