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Found 1 from your keywords: subject="Prodi Ilmu Matematika...
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 KOMPARASI METODE K-MEANS DAN K-MEDOIDS CLUSTERING UNTUK PENGELOMPOKAN PELAN…
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Fitriani, Risa

Customer transaction data is very important for companies to monitor sales increases and can be used to group customers based on their characteristics. This data includes information about items sold, quantities, item names, prices, and customer names. In this research, 1.948 customer transaction data were clustered at CV Mahkota Jaya Bersama. Customer grouping through Recency, Frequency, Monet…

Edition
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ISBN/ISSN
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Collation
xiii, 64 hlm.; ill.; tab.; 29 cm.
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Call Number
T1565082024