High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its utility measurement and utility values tend to become higher for itemsets containing more items...

Cooperatives have developed from time to time, in providing services, credit cooperatives certainly certain requirements as prospective customers receive loans. need check whether interested parties will Loans are the main source of income for cooperatives. In data mining, there several classification algorithms that can be used analysis, including Random Forest and C4.5 Algorithm. Data on rece...

With the increase of living standards and the sustainable changing patterns of people’s lives, nowadays, hairdressing services have been widely used by people. This paper adopts data mining techniques by combining self-organizing maps (SOM) and K-means methods to apply in RFM (recency, frequency, and monetary) model for a hair salon in Taiwan to segment customers and develop marketing strategie...

Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. In this paper, we define the notion of a “user session” as being a temporally compact sequence of web accesses by a user. We also define a new distance measure between two web sessions that captures the organization of a web site. Web usage mining consist...

due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. association rules mining is one of the data mining techniques to extract useful patterns in the form of association rules. one of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. hiding the as...

A data warehouse is a straightforward definition of database. Data mining technology can be used to process mountains in databases uncover new, fascinating, and useful information.Clustering an approach gathering. As one technique for grouping into clusters or groups, the K-Means Clustering Algorithm algorithm divides those that share cluster's traits don't. so has same grouped cluster. Other a...

estimating similarity is expressed in many domains and sciences. for instance, data mining, web mining, clustering, search engines, ontology mapping and social networks require the definition and deployment of similarity. user similarity in social networks is one of the main problems and has many applications in this area. in this paper, a new method is introduced for combining structural and n...