Exploring regression for mining user moving patterns in a mobile computing system

Chih Chieh Hung, Wen-Chih Peng*, Jiun-Long Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, by exploiting the log of call detail records, we present a solution procedure of mining user moving patterns in a mobile computing system. Specifically, we propose algorithm LS to accurately determine similar moving sequences from the log of call detail records so as to obtain moving behaviors of users. By exploring the feature of spatial-temporal locality, we develop algorithm TC to group call detail records into clusters. In light of the concept of regression, we devise algorithm MF to derive moving functions of moving behaviors. Performance of the proposed solution procedure is analyzed and sensitivity analysis on several design parameters is conducted. It is shown by our simulation results that user moving patterns obtained by our solution procedure are of very high quality and in fact very close to real user moving behaviors.

Original languageEnglish
Title of host publicationHigh Performance Computing and Communcations - First International Conference, HPCC 2005, Proceedings
Pages878-887
Number of pages10
DOIs
StatePublished - 1 Dec 2005
Event1st International Conference on High Performance Computing and Communcations, HPCC 2005 - Sorrento, Italy
Duration: 21 Sep 200523 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3726 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on High Performance Computing and Communcations, HPCC 2005
CountryItaly
CitySorrento
Period21/09/0523/09/05

Fingerprint Dive into the research topics of 'Exploring regression for mining user moving patterns in a mobile computing system'. Together they form a unique fingerprint.

Cite this