apriori algorithm is the most popular algorithm in association rules mining. one of the problems the apriori algorithm is that the user must specify a minimum support threshold. consider that a user wants to implement the apriori algorithm on a database with millions of transactions; users will not have the necessary knowledge about all the transactions in the database and therefore cannot dete...

The rapid development of computer technology, especially increased capacities and decreased costs of storage media, has led businesses to store huge amounts of external and internal information in large databases at low cost. In general, the rule generated by association rule mining algorithms like priori, partition, pincer-search, incremental, border algorithm etc, does not consider negation o...

Clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. The aim of clustering is to collect data points. In this paper, a Cultural Algorithm (CA) is presented to optimize partition with N objects into K clusters. The CA is one of the effective methods for searching into the problem space in order to find a n...

abstract precipitation is an important variable which is used in definition of drought. based on precipitation amounts, some indices are devised for drought monitoring including, the standardized precipitation index (spi) and the standard index of annual precipitation (siap). each of these drought indices are classified into some classes so that each class descripts a given severity of drought....

purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. the attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. design/ methodology/ approach: the approach of this research is to use data mining tools...

In this research, data collection and processing of sales electronic goods were carried out with CV. Berkah Elektronik. The obtained is then aggregated the K-Means algorithm to gain knowledge about which products are selling well on market not. study, clustering method was used Tanagra 1.4.48 software, as an draw conclusions items not inputted, namely product prices. sale goods. And from result...

Mining frequent itemsets and association rules are an essential task within data mining analysis. In this paper, we introduce PrefRec, a recursive algorithm for finding rules. Its main advantage is its recursiveness with respect to the items. It particularly efficient updating process when new items added database or some excluded. We present in complete way logic of algorithm, give application...

Data mining is the process of discovering interesting knowledge, such as patterns, associations, changes, anomalies and significant structures, from large amounts of data stored in databases, data warehouses, or other information repositories. Mining Associations is one of the techniques involved in the process mentioned above and used in this paper. Association is the discovery of association ...