View : 19 Download: 0

A user customized service provider framework based on machine learning

Title
A user customized service provider framework based on machine learning
Authors
KimS.HongE.ParkB.H.
Ewha Authors
박형곤
SCOPUS Author ID
박형곤scopus
Issue Date
2015
Journal Title
International Conference on Ubiquitous and Future Networks, ICUFN
ISSN
2165-8528JCR Link
Citation
vol. 2015-August, pp. 23 - 25
Keywords
K-fold cross-validationlocation based serviceMachine learningsupport vector machine
Publisher
IEEE Computer Society
Indexed
SCOPUS scopus
Abstract
In this paper, we propose a user customized service provider framework based on machine learning. The framework consists of mobile stations, data collector, analysis tools and service applications. As an analysis tool, we deploy machine learning techniques, in particular, support vector machine which generates learning model and precise classifiers. Moreover, K-fold cross-validation is used to achieve better accurate inference from the collected data. Then, we develop a predictor that predicts users' behavior patterns from the information of time connections and APs. This enables to provide adaptive services customized for end-users, e.g., smart phone push notifications services. © 2015 IEEE.
DOI
10.1109/ICUFN.2015.7182488
ISBN
9781479989935
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE