global optimization methods play an important role to solve many real-world problems. flower pollination algorithm (fp) is a new nature-inspired algorithm, based on the characteristics of flowering plants. in this paper, a new hybrid optimization method called hybrid flower pollination algorithm (fppso) is proposed. the method combines the standard flower pollination algorithm (fp) with the par...

The Medan Marelan Health Center is one of the health centers in city Medan. supply medicines considered necessary so that these can still be available at any time with various types and functions. In order not to experience difficulties distributing anticipating Puskesmas, research was carried out using Data Mining method. this study, a test will on Association Rule which used as solution probl...

The web content in present scenario is mainly comprised of Social media systems such as blogs, photo and link sharing sites and on-line forums. . Web Usage Mining is the application of data mining techniques in the field of social networks to discover exciting usage patterns from SNS data and to serve the needs of SNS applications in a better manner. The major use of web usage mining techniques...

Frequent itemset mining is often regarded as advanced querying where a user specifies the source dataset and pattern constraints using a given constraint model. Recently, a new problem of optimizing processing of sets of frequent itemset queries has been considered and two multiple query optimization techniques for frequent itemset queries: Mine Merge and Common Counting have been proposed and ...

In order to improve the frequent itemsets generated layer-wise efficiency, the paper uses the Apriori property to reduce the search space. FP-grow algorithm for mining frequent pattern steps mainly is divided into two steps: FP-tree and FP-tree to construct a recursive mining. Algorithm FP-Growth is to avoid the high cost of candidate itemsets generation, fewer, more efficient scanning. The pap...