Data Mining is used to discover the knowledge from large amount of databases and transform it into a flexible structure. Association rule mining (ARM) is the essential part of data mining process. Finding good quality of association rules between items in large databases has been an important and challenging association rule mining problem. The rules mined through ARM algorithms are used for de...

Data mining ialah operasi resourcing dan penggunaan data untuk mencari pola atau hubungan darisekumpulan yang berukuran besar. telah diimpelementasikan pada berbagai aspek,salah satunya bidang penjualan produk roti. Pihak perusahaan dapat mengetahui minat pembelidengan memanfaatkan mengolah Penelitian inimenganalisis tentang pencarian informasi dari transaksi roti menggunakan miningdengan algor...

There is a huge amount of data around us and to extract valuable information from it can be done through data mining. Data Miming is the process of extracting useful information from the huge amount of data stored in databases. Association Rule Mining is one of the data mining techniques used to extract hidden knowledge from datasets that can be used by an organization’s decision makers to impr...

Data mining, also known as Knowledge Discovery in Databases (KDD) is one of the most important and interesting research areas in 21 century. Frequent pattern discovery is one of the important techniques in data mining. The application includes Medicine, Telecommunications and World Wide Web. Nowadays frequent pattern discovery research focuses on finding co-occurrence relationships between item...

Rsumm La ddcouverte des rgles d'association est l'un des principaux probllmes de l'extraction de connaissances dans les bases de donnnes. De nombreux algorithmes eecaces ont tt proposss, dont les plus remarquables sont Apriori, l'algorithme de Mannila, Partition, Sampling et DIC. Ces derniers sont tous basss sur la mmthode de recherche de Apriori: l''lagage du treillis des parties (treillis des...

Rsumm La ddcouverte des rgles d'association est l'un des principaux probllmes de l'extraction de connaissances dans les bases de donnnes. De nombreux algorithmes eecaces ont tt proposss, dont les plus remarquables sont Apriori, l'algorithme de Mannila, Partition, Sampling et DIC. Ces derniers sont tous basss sur la mmthode de recherche de Apriori: l''lagage du treillis des parties (treillis des...

Fully homomorphic encryption (FHE) enables secret computations. Users can perform computation using data encrypted with FHE without decryption. Uploading private to a public cloud has the risk of leakage, which makes many users hesitant utilize cloud. avoids this risk, while still providing computing power In cases, are stored in HDDs because size increases significantly when is used. One impor...

Keputusan merupakan suatu hal yang sangat berpengaruh dalam proses menghadapi alternatif yag dipilih. Berbagai kendala memilih penjurusan sesuai dengan kriteria memang cukup membingungkan. Salah satu adalah calon peserta didik baru tidak mengikuti minat dan kemampuannya, justru pilihan teman-temannya. Tujuan penelitian ini untuk menentukan konsentrasi akan diambil oleh menggunakan algoritma Apr...