Analysis of River Regime Data Based on the Improved Apriori Algorithm

Article Preview

Abstract:

With the informatization development of water conservancy, the data of water conservancy increased gradually. The data of river regime comes up with the features of real-time and historicity. Therefore, the data has the character of diversity, large and abundant contents. Because of the restrict of the classic Apriori algorithm, many researchers cant meet the requirements of those large data analysis. So, this thesis explained the improvements of the classic Apriori algorithm, designed and elaborated the effectiveness of association rules in river regime resource.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

535-538

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Agrawal R, Srikant R. Mining association rules between sets o f items in large databases[A]. Proc ACM SIGMOD Int. Conf Management of data[C]. Washington DC, May 1993. PP207-216.

DOI: 10.1145/170036.170072

Google Scholar

[2] Agrawal R, Srikant R. Fast algorithms for mining association rules[A]. Proc 20th Int. Conf Very Large Database[C]. Santiago, Chile, Sept 1994. PP487-499.

Google Scholar

[3] Zhizhong Yin. Research and improvement of Apriori algorithm based on the cross linked list [J]. Computer applications and software, 2012, 29(5): 267-269.

Google Scholar

[4] Qin Zhan, Youming Zhang. A Improved Apriori algorithm of Dynamic inheritance [J]. The research and application of computer, 2010, 27(8): 2929-2930.

Google Scholar

[5] Lining Chen, Ke Luo. Determine the specified precision matrix poly based on the Apriori algorithm[J]. Computer engineering and Applications, 2012, 48(7): 139-141.

Google Scholar