KAJIAN LITERATUR MASALAH – MASALAH YANG DIHADAPI DENGAN MENGGUNAKAN ALGORITMA FP-GROWTH DAN APRIORI

Abstract

Data Mining is a series of processes to explore added value in the form of information that has not been known manually from a database by extracting patterns from data with the aim of manipulating data into more valuable information obtained by extracting and recognizing important patterns or pulls from the data contained in the database. This article will discuss the problems of how to determine a pattern that is interconnected so that the relationship is. Based on the objectives of the FP-Growth algorithm and a priori, it can maximize the solution to a problem that often arises in the future.