COMPARISON BETWEEN APRIORI AND FP-GROWTH ALGORITHMS ON INVENTORY MODEL OF ITEM AVAILABILITY
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Abstract
In this study, it will be discussed the comparison between apriori and fp-growth algorithms on an
inventory model of item availability. The research about this topic becomes important and interesting
to be studied because it illustrates the implementation of applied mathematics by constructing the
matematical model, namely an inventory model of item availability. Then, the model will be solved by
using apriori and fp-growth algorthms related to the application of probability theory. In this case,
apriori and fp-growth algorithms are used to specify
the pattern of dependency relationships between an item and other items so that the probability of
item purchase based on other goods can be discovered. Moreover, the number of items which should
be provided by a seller in a shop or a supermarket can be calculated. In order to figure out the output
of this research which is the analysis of the comparison between apriori and fp-growth algorithms on
the inventory model of item availbility, then choosing and categorizing kinds of items based on the
sales, using the apriori and fp-growth algorithms, constructing the model, solving and interpreting it
are established
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