For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Comparative Study on Sweat Fingerprints Photographic Effects between Full-Band CCD and UV Observing Photograph Systems
p.1744
Research and Realization of ADO.NET Database Access Technology
p.1748
The Development of Database System of Parameter and Coefficient for the Common Shafting Parts
p.1752
The Actual Fusion Technology Application in Automobile Service Teaching
p.1757
Research on Improved Association Rules Algorithm for Web-Based Chinese Short Texts
p.1761
The Impact of Filter Function on Structural Topology Optimization
p.1766
Application of C4.5 Algorithm in Evaluation of Railway Large Maintenance Machinery Construction
p.1770
Design of a Manual Calculation System of Drawing Quantity with "Read Schemata”
p.1774
A Fast Approach for SLCA in Keyword Query over XML Document
p.1779

Research on Improved Association Rules Algorithm for Web-Based Chinese Short Texts

Article Preview

Abstract:

The classical Apriori algorithm has many drawbacks. This author proposed an improved association rules algorithm for Web-based Chinese short text, which combines Apriori algorithm with matrix. It proves that this algorithm has higher performance according to the results of case studies and simulation experiments.

You might also be interested in these eBooks
Frontiers of Manufacturing and Design Science IV View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

1761-1765

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1761

Citation:

Cite this paper

Online since:

January 2014

Authors:

Cui Yuan Yu

Keywords:

Apriori Algorithm, Association Rule, Matrix

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Translated by Fanming, Fan Hongjian Introduction of Data Mining [M]. (2006), pp.67-68.

Google Scholar

[2] Li Ren. Association Rules in Text Classification Research [D]: [A]. Nanchang: Nanchang University(2008).

Google Scholar

[3] Chen Wenwei, Huang Jincai, Zhao Xinyu. Data Mining Technology [M]. Beijing: University of Industry(2002), p.57—58.

Google Scholar

[4] S.M. Fransen, A. NyruP. Implementation of'Standard, Data Mining [J]. Laboratory Automation & information management, Vol. 25(2005) , p.227—233.

DOI: 10.1016/s1381-141x(98)80008-7

Google Scholar

[5] Wu Yufang, Lu Chunhua. Web Text Mining [J]. Shanxi Library Journal, Vol. 03(2010), pp.34-35.

Google Scholar

[6] Chen An, Chen Ning, Zhou Longxiang. Data Mining Technology and Application [M]. Beijing: Science and Technology Press, (2006), pp.76-82.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.