On mining lifestyles from user trip data

On mining lifestyles from user trip data

Large cities today are facing major challenges in planning and policy formulation to keep their growth sustainable. In this paper, we aim to gain useful insights about people living in a city by developing novel models to mine user lifestyles represented by the users' activity centers. Two mode...

Full description

Saved in:
Bibliographic Details
Main Authors: CHIANG, Meng-Fen, Ee-peng LIM
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Computer Sciences
Databases and Information Systems
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/3079
https://ink.library.smu.edu.sg/context/sis_research/article/4079/viewcontent/136._On_Mining_Lifestyles_from_User_Trip_Data__ASONAM2015_.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3079
https://ink.library.smu.edu.sg/context/sis_research/article/4079/viewcontent/136._On_Mining_Lifestyles_from_User_Trip_Data__ASONAM2015_.pdf

Similar Items