With the complexity and variability of data structures dimensions, traditional clustering algorithms face various challenges. The integration network science has become a popular field exploration. One main challenges is how to handle large-scale complex high-dimensional effectively. Hypergraphs can accurately represent multidimensional heterogeneous data, making them important for improving pe...

Association rule mining is one of the most significant techniques in the field of data mining. It is very useful in discovering relationships hidden in large transaction datasets such as frequent patterns, associations etc. One of the popular and important algorithms in this category is Apriori algorithm which finds frequent itemsets using an iterative approach. But it suffers from a major limi...

Mining frequent itemsets from massive datasets is always being a most important problem of data mining. Apriori is the most popular and simplest algorithm for frequent itemset mining. To enhance the efficiency and scalability of Apriori, a number of algorithms have been proposed addressing the design of efficient data structures, minimizing database scan and parallel and distributed processing....

With the wide application of computer science and technology, the amount of data generated by various disciplines increased rapidly. In order to discover valuable knowledge in these databases, people use data mining methods to solve this problem. The application of association rule mining is an important research topic in data mining. As the association rule technology becomes more mature, it i...

The initial stage of opening a business is one the activities that can have an impact on economy. TB. Jasa Manis trading sells various kinds building materials, electrical equipment, materials and others. A sales strategy needed to maintain marketing. Data Mining answers this problem by analyzing customer transaction data, then creating certain rule, pattern or model. Products are frequently pu...