Design and Implementation of Data Mining and Data Retrieval Algorithms in a Mobile Commerce System
Date Issued
2003-07-31
Date
2003-07-31
Author(s)
DOI
912213E002045
Abstract
As a sub-project of the joint project entitled “A Mobile Electronic Commerce
System,” this project, named “Design and Implementation of Data Mining and Data
Retrieval Algorithms in a Mobile Commerce System,” attempts to design data
allocation schemes for personal and shared data to enable mobile E-commerce. We
will carry out this project in a three-year span.
As addressed in other studies, the moving behavior of users is regular, and the
quality of service of the mobile commerce system can be greatly improved by
employing the user moving patterns with slight trade-off. In the previous year, we had
designed a user moving pattern analysis algorithm to capture the user moving patters
from the historical user moving logs. In this year, we develop data allocation schemes
for personal and shared data to increase the quality of service according to the
obtained user moving patterns. The experimental results show that the proposed data
allocation schemes can effectively reduce the data access latency of mobile users.
Subjects
Mobile commerce
data allocation
data mining
user
moving pattern
moving pattern
Publisher
臺北市：國立臺灣大學電機工程學系暨研究所
Type
report
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