Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Data Mining Technology as the Core of the Intelligent Prefetching Web Application Analysis

Authors
Hui Yuan, Lei Zhao
Corresponding Author
Hui Yuan
Available Online April 2017.
DOI
10.2991/emim-17.2017.56How to use a DOI?
Keywords
Data mining; Prefetching technology; Cache technology; Intelligent construction
Abstract

With the further development of in Internet, the rapid growth of users led to network congestion and server overload. Caching technology is considered to be one of the effective ways to reduce server load, reduce network congestion, and reduce customer access latency, but has limited role. To further improve the performance of the cache system, the introduction of prefetching technology. The data mining technology combines the knowledge of databases, artificial intelligence and statistics. This paper takes the data mining technology as the core to study the intelligent Web prefetching technology, and plays an important role in the future data mining in the accurate retrieval of information, personalized service, improve the design and service of the portal site, and build the intelligent Web site.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.56How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hui Yuan
AU  - Lei Zhao
PY  - 2017/04
DA  - 2017/04
TI  - Data Mining Technology as the Core of the Intelligent Prefetching Web Application Analysis
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 263
EP  - 267
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.56
DO  - 10.2991/emim-17.2017.56
ID  - Yuan2017/04
ER  -