Analysis Engine Based on Cloud Computing

Shan Hong Zhu; Wei Liu

doi:10.4028/www.scientific.net/AMM.602-605.3478

Paper Titles

The Development and Research of Data Mining Technology
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A Kind of Method of Socket Programming Combining MATLAB and VB Based on COM Component
p.3465

Research on the Chinese Word Segmentation System Based on Incremental Learning
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Application of Variable Step Size LMS Algorithm in Multiple Access Interference Cancellation
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Analysis Engine Based on Cloud Computing
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A Log-Structured File System Based on LevelDB
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Influence of Focal Shift on Image Quality
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The Modeling Method for Record Wave File Analysis
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Comprehensive Evaluation of Low Carbon Economy Based on Rough Set Theory
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Analysis Engine Based on Cloud Computing

Analysis Engine Based on Cloud Computing

Abstract:

In this paper come up with the idea of user behavior analysis engine, the combination of the static analysis of user behavior and real-time monitoring, real-time acquisition of Web log and user to access the context information of the page, apply to the improved data mining model analysis, which based on cloud computing technology, meanwhile efficient processing and storage, cloud database test showed that, the system can significantly improve the effect and efficiency of user behavior analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3478-3480

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3478

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Online since:

August 2014

Authors:

Shan Hong Zhu*, Wei Liu

Keywords:

Analysis Engine, Cloud Computing, User Behavior

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* - Corresponding Author

References

[1] G. Salton, A. Wong, C. Yang. A vector space model for automatic indexing. Communications of the ACM, 18(11): 613-620, (1975).

DOI: 10.1145/361219.361220

Google Scholar

[2] Agrawal R, Srikant R. Mining association rules between sets of items in large databases [A]. Proc ACM SIGMOD Int'l Conf Management of data [C]. Washington DC, May 1993. 207~216.

DOI: 10.1145/170036.170072

Google Scholar

[3] Agrawal R, Srikant R. Fast algorithms for mining association rules [A]. Proc 20th Int'l Conf Very Large Database [C]. Santiago, Chile, Sept 1994. 487~499.

Google Scholar

[4] J.A. Whittaker, M.G. Thomason. A Markov Chain Model for statistical software testing [J]. IEEE Transactions on Software Engineering 1994, 30(10), 812-824.

DOI: 10.1109/32.328991

Google Scholar