期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：8
出版社：S&S Publications
摘要：Data mining is the system of finding hidden patterns in huge set of data which involves methods at the com bination of machine learning, statistics and database systems and finds the link between the different patterns. Association rule mining is the important techniques to attain the objective of data mining. It is popular methods for discovering uncover, uni dentified relationships between different sets in massive databases. These results provide the basis for forecasting and innovative decision making in various fields. To discover these rules frequent item sets have to be find out. These are the building bl ocks. It plays an fundamental role in many data mining areas to discover various interesting patterns. It is a trendy and more tedious task. This paper describe a new algorithm for extracting frequent itemsets using damped window model
关键词：Association rule mining; Data mining; Support; Confidence; Frequent Itemsets; Algorithms
