Efficient algorithms to mine frequent patterns are crucial to many tasks in data mining. Since the Apriori algorithm was proposed in 1994, there have been several methods proposed to improve its performance. However, most still adopt its candidate set generation-and-test approach. We propose a pattern decomposition (PD) algorithm that can significantly reduce the size of the dataset on each pas...

Association Rule mining is a sub-discipline of data mining. Apriori algorithm is one of the most popular association rule mining technique. Apriori technique has a disadvantage that before generating a maximal frequent set it generates all possible proper subsets of maximal set. Therefore it is very slow as it requires many database scans before generating a maximal frequent itemset In the meth...

Data mining algorithms are essential tools to extract information from the increasing number of large datasets, also called Big Data. However, these algorithms demand huge amounts of computing power to achieve reliable results. Although conventional High Performance Computing (HPC) platforms can deliver such performance, they are commonly expensive and power-hungry. This paper presents a study ...

Association rule mining concept is used to show relation between items in a set of items. Apriori algorithm for mining frequent itemsets from large amount of database is used. Parallelism is used to reduce time and increase performance, Multi-core processor is used for parallelization. Mining in a Serial manner can consume time and reduce performance for mining. To solve this issue we are propo...

Penyandang Masalah Kesejahteraan Sosial (PMKS) menjadi satu dari sekian masalah yang terdapat di daerah perkotaan, sebab dapat mengganggu pembangunan kota, ketertiban umum, keamanan dan stabilitas. Sejauh ini langkah dilakukan sementara masih terfokus dengan cara penanganan PMKS, belum mengarah untuk mencegah. Menentukan pola golongan PMKS merupakan salah dilakukan. Algoritma Apriori memiliki f...

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...

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....