In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop's
distributed and parallel MapReduce environment, we present an architecture to mine …

Abstract Application of Data Mining tasks over health care has gained much importance
nowadays. Most of the Association Rule Mining techniques attempts to extract only the …

Many data mining studies have focused on mining positive associations among frequent
and regular item sets. However, none have considered time and regularity bearing in mind …

Determination of frequent sets from a large database is the key to Association Rule mining
from the point view of efficiency of algorithms to scale up and discovering frequent sets …

Useful rule formation from frequent itemsets in a large database is a crucial task in
Association Rule mining. Traditionally association rules refer to associations between two …

Association analysis, classification and clustering are three different techniques in data
mining. Associative classification is a classification of a new tuple using association rules. It …

Association rule mining is one of the most popular data mining techniques to find
associations among items in a set by mining necessary patterns in a large database. Typical …

Birliktelik kuralları, veri kümesindeki nesnelerin varlığının diğer nesnelerin varlığını nasıl
etkilediğini tanımlanmaktadır. Bu kurallar, alış veriş sepeti analizinde, bir ürünün aynı …

完全加权数据模型的特点是其项目权值分布在各个事务记录中, 随着事务记录的不同而变化.
现有的加权负关联规则挖掘算法不能适用于完全加权数据模型. 该文提出一种新颖的基于概率比 …

Association Rule Mining is a Data Mining technique which extracts association rules from
the given dataset. A good number of research work has been reported in Association Rule …