Results 1 to 10 of about 779 (215)
Pattern Analysis of Drug Procurement System With FP-Growth Algorithm
The Medan Marelan Health Center is one of the health centers in the city of Medan. The supply of medicines is considered necessary so that these medicines can still be available at any time with various types and functions.
Zulham Zulham +2 more
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A heuristic approach for load balancing the FP-growth algorithm on MapReduce
Frequent itemset discovery is an important step in Association Rule Mining. The Frequent Pattern (FP) growth algorithm, often used for discovering frequent itemsets, cannot scale directly to today’s Big Data, especially for large sparse datasets.
Sikha Bagui +2 more
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Implementation of the FP-Growth Algorithm on Spare Parts Supply Requests
Manufacturing companies rely on machines for operational activities to produce finished goods. Common factors constraining the demand and supply of spare parts are the high number of spare parts managed and irregular patterns of demand for spare parts ...
Fachri Amsury +3 more
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Use of data mining to establish associations between Indian marine fish catch and environmental data [PDF]
For decades, changes in fish catch composition and the marine environment have been monitored worldwide and recorded in databases like FAO FishStatJ and the European Union Copernicus Marine Service.
Gladju Joseph +2 more
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Discriminating Feed Rate of Combine Harvester by Using Association Rule Mining
The feed rate is an important evaluation index of combine harvester performance. The quick identification of the amount of feed rate that enters the combine during harvesting is of great significance for the efficiency and operational quality of the ...
Yehong Liu +4 more
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Data analysis and processing is very important to support business development. One example is The Javanese Café which requires analysis and processing to determine promotional menu package recommendations.
Samsinar Samsinar, Dwi Astuti
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Towards Enhancing the Performance of Parallel FP-Growth on Spark [PDF]
Frequent itemset mining (FIM) is a crucial tool for identifying hidden patterns in information. FP-Growth is an FIM algorithm used to find associations. When the data size increases, the execution of FIM algorithms on a single machine suffers from computational problems, such as memory and time consumption.
Amr Essam +2 more
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Analisis Sistem Frequent Pattern Growth Untuk Penjualan Produk Herbal
Perkembangan teknologi memberikan dampak yang besar terhadap perkembangan dunia bisnis. Persaingan dalam dunia bisnis sangat ketat sehingga perlu melihat potensi transaksi penjualan produk dan memiliki strategi penjualan produk yang tepat.
Rezi Elsya Putra +3 more
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The popular association rule algorithms are Apriori and fp-growth; both of these algorithms are very familiar among data mining researchers; however, there are some weaknesses found in the association rule algorithm, including long dataset scans in the ...
Moch. Syahrir, Lalu Zazuli Azhar Mardedi
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By launching a war against Ukraine, Russia changed the entire world system and demonstrated the ineffectiveness of the global security system. Today it is necessary to look for effective solutions to support the adoption of security decisions and develop
Berezka Kateryna M., Kovalchuk Olha Ya.
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