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....

Penelitian ini bertujuan untuk mengetahui penggunaan algoritma apriori pada berbagai bidang termasuk shelf management. Berubahnya preferensi perilaku konsumen dari konvensional ke digital menuntut management perlu ditelaah lebih lanjut. Namun, masih terbatas dan sedikit literatur yang menyatakan kaitannya dengan digital. Pendekatan digunakan penelitian adalah review kata kunci yaitu Apriori alg...