Results 181 to 190 of about 6,703 (218)

The Research of Improved Apriori Algorithm

Applied Mechanics and Materials, 2012
The first step of the association rule mining algorithm Apriori generate a lot of candidate item sets which are not frequent item sets, and all of these item sets cost a lot of system spending. To solve this problem，this paper presents an improved algorithm based on Apriori algorithm to improve the Apriori pruning step.
Zhen Yun Liao, Xiu Fen Fu, Ya Guang Wang
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A Novel and Improved Apriori Algorithm

Applied Mechanics and Materials, 2014
Apriori algorithm is the classical algorithm in data mining association rules. Because the Apriori algorithm needs scan database for many times, it runs too slowly. In order to improve the running efficiency, this paper improves the Apriori algorithm based on the Apriori analysis.
Dong Juan Gu, Lei Xia
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An implementation of improved apriori algorithm

2009 International Conference on Machine Learning and Cybernetics, 2009
Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner. Association rules are highly popular data mining method.
null Gang Yang, null Hong Zhao, null Lei Wang, null Ying Liu   +3 more
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Study and Analysis of Incremental Apriori Algorithm

2011
Abstract. Study of this paper is based on finding the threshold value of database change up to which incremental Apriori algorithm performs better. A new incremental Apriori algorithm is also proposed which performs better than the existing algorithm in terms of computation time.
Neeraj Kumar Sharma 0005, Naresh Kumar Nagwani   +1 more
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Enhancing Forest Fire Risk Assessment: An Ontology-Based Approach with Improved Continuous Apriori Algorithm

Forests
Forest fires are sudden and difficult to extinguish, so early risk assessment is crucial. However, there are currently a lack of suitable knowledge-mining algorithms for forest fire risk assessment.
Ziyang Li, Changzuo Xie, Yumin Dong
exaly   +2 more sources

Enhancing the Apriori Algorithm for Frequent Set Counting

2001
In this paper we propose DCP, a new algorithm for solv- ing the Frequent Set Counting problem, which enhances Apriori. Our goal was to optimize the initial iterations of Apriori, i.e. the most time consuming ones when datasets characterized by short or medium length frequent patterns are considered. The main improvements regard the use of an innovative
ORLANDO, Salvatore, P. PALMERINI, R. PEREGO   +2 more
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The Optimization and Improvement of the Apriori Algorithm

2008 International Symposium on Intelligent Information Technology Application Workshops, 2008
Through the study of Apriori algorithm we discover two aspects that affect the efficiency of the algorithm. One is the frequent scanning database, the other is large scale of the candidate item sets. Therefore, IApriori algorithm is proposed that can reduce the times of scanning database, optimize the join procedure of frequent item sets generated in ...
Yiwu Xie, Yutong Li, Chunli Wang, Mingyu Lu   +3 more
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A Study of Improving Apriori Algorithm

2010 2nd International Workshop on Intelligent Systems and Applications, 2010
The Apriori algorithm is one of the most influential apriori for mining association rules. The basic idea of the Apriori algorithm is to identify all the frequent sets. Through the frequent sets, derived association rules, these rules must satisfy minimum support threshold and minimum confidence threshold.
Libing Wu, Kui Gong, Yanxiang He, Xiaohua Ge, Jianqun Cui   +4 more
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Apriori and Other Algorithms

2001
In this chapter, we review the main rule-mining algorithms proposed in the literature. We start with two early algorithms known as AIS [AIS93] and SETM [HS95]. Next, we present two important algorithms known as Apriori and AprioriTid [S96], [ASR94]. We finally complete the chapter with two algorithms recently proposed in [PCY97] and [BMUT97] .
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An Improved Algorithm of Apriori

2009
This paper puts forward a kind of improved algorithm after analyzing the classical Apriori algorithm. Through scanning database only once, all transactions are transformed into components of a two-dimensional array. The algorithm becomes more practical by introducing weight.
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