期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：2
页码：623-626
语种：English
出版社：Ayushmaan Technologies
摘要：At this time, Association ruling acting an important role. The purchasing of one product when an additional product is purchased represents an association rule. The Apriori algorithm is the basic algorithm for mining association rules. The increasing importance of data stream arising in a wide range of complex applications has led to the extensive study of mining frequent patterns. Mining data streams poses many new challenges between which are the one-scan nature, the uncontrolled memory requirement and the high arrival rate of data streams. This paper describes a new approach based on Master-Slave architecture. It uses Hybrid approach – a combination of bottom up and top down approaches for search repeated item sets. It reduces the time in use to find out the support count of the item sets. The Prime number based demonstration offers the flexibility for testing the validity of met rules and provides reduction in the data complexity.
