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5.257  Articles
1 of 527 pages  |  10  records  |  more records»
Alert Shop is a store that sells a variety of products such as household items, daily necessities, accessories, and cosmetics. Analyze customer buying behavior with Alert Store bulk transaction data.. The Apriori algorithm is one of the algorithms for ext... see more

The company does not yet know the pattern of consumer purchases because so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. To overcome the problems on the company, this r... see more

Apriori algorithms are part of the algorithms in data mining which are often used to find data patterns. Apriori algorithms are often used in sales transaction data. In this study, the authors discussed the application of apriori to the prediction of sale... see more

Definite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understa... see more

In this study, the implementation of Data Mining association method using Apriori algorithm to determine product purchase pattern. Data obtained from the sales transaction data in the Toko Jaya Putra Bumi Agung in the form of a purchase note that will the... see more

The article deals with the problem of synthesis of robust post-detection algorithms of random radar signal on the background of uncorrelated noise and ?haotic pulse interference. Two cases of aprioristic uncertainty are considered: 1) random modulated har... see more

Data mining is a technique to extract new information from the data warehouse, information is considered very important and valuable because by mastering the information so easily to achieve a goal, this makes everyone competing to obtain information, as ... see more

Apriori algorithm is one of the methods with regard to association rules in data mining. This algorithm uses knowledge from an itemset previously formed with frequent occurrence frequencies to form the next itemset. An a priori algorithm generates a combi... see more

Ordering products from home-based trading businesses have not utilized data mining algorithms that can help analyze transaction data to optimize product order transactions and also manage inventory on raw materials from products by reducing a lot of lefto... see more

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