Design and Implementation of an Adaptive Web Warehousing System
Date Issued
2004-07-31
Date
2004-07-31
Author(s)
DOI
922213E002001
Abstract
As Internet technologies develop rapidly
these years, more and more people are
attracted by various web applications. How
to collect and save the user data efficiently
and to find the valuable knowledge from the
huge data have become important topics. In
this project, the high-efficiency data
collection mechanism and corresponding
data processing steps for web environments
are first being developed. Second, the OLAP
techniques are utilized to build a well-found
Web warehousing system. Additionally, data
mining capabilities, i.e., association,
classification and traversal pattern, are
devised to explore the user behaviors hidden
in large amount of user data. The mining
results offer personal services for Web users,
and can be feedback for our system to trigger
the dynamic adjustment of storage
architectures for optimizing the system. This
adaptive characteristic is most suitable for
online Web systems. In concrete, integrating
the technologies mentioned above to build
an adaptive web warehousing system with
the OLAM functionality is our objective of
this project.
Subjects
Internet
OLAP
Data
Warehousing
Warehousing
Data Mining
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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