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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 Apriori-Pro Algorithm

2018
An improved Apriori-Pro algorithm is proposed to solve the disadvantages of a large number of invalid candidate sets when mining association rules. The new algorithm adds the transaction label column in the item set list to calculate the support degree, and makes use of the difference of the transaction label column to determine whether the link ...
Huaping Zhou, Daoyi Zhang
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Apriori Algorithm Optimization using Temporary Table

2019 International Conference on Information and Communications Technology (ICOIACT), 2019
Apriori algorithm has been widely used to establish association rules and be applied on various areas. However, when applying this algorithm to some applications with relational database, the iteration process become ineffective. This study proposes the use of transaction temporary table to increase the time performance of apriori algorithm ...
Arif Dwi Laksito, null Kusrini
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Frequent item set using Apriori algorithm

2019
In Data Mining Research, Frequent Item set Mining has been viewed as a significant assignment. These thing sets prompts the age of Association rules. These standards tell about the nearness of one thing as for the nearness of another thing in huge dataset. There are productive techniques for creating Association Rules from huge databases.
Sona Maria Sebastian   +3 more
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A New Improvement on Apriori Algorithm

2006 International Conference on Computational Intelligence and Security, 2006
Efficiency has been concerned for several years in the research of association rules mining. In this paper, based on the improvement on the classical Apriori algorithm, a high-dimension oriented Apriori algorithm is proposed. Unlike existed Apriori improvements, our algorithm adopts a new method to reduce the redundant generation of sub-itemsets during
Lei Ji, Baowen Zhang, Jianhua Li
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Apriori Algorithm for Engineers

“Apriori Algorithm for Engineers” provides a comprehensive introduction to association rule mining and its applications in recommendation systems. This book explores the Apriori Algorithm’s principles, practical implementations, and its role in uncovering patterns within large datasets.
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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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A Matrix-Based Apriori Algorithm Improvement

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018
Association rule mining is to find interesting hidden associations from a huge number of initial data. Apriori algorithm is an effective way to find these associations. However, the original Apriori has its own drawback. Firstly, it needs to scan the database numerous times.
Qinliu Yang   +3 more
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The Research of Improved Apriori Algorithm

2013
According to the weakness of Apriori algorithm, such as too many scans of the database and vast candidate itemsets, this chapter proposes an improved Apriori algorithm which scans the database only once by using arrays to store data. In addition, the new algorithm sorts the frequent itemsets from small to large according to their supports before they ...
Bi Xujing, Xu Weixiang
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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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