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Found 1 from your keywords: author=Imam, M

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DETEKSI TRANSAKSI ANOMALI PADA BLOCKCHAIN DENGAN MENGGUNAKAN METODE DEEP NEUR…

Blockchain is a digital data bank that stores transaction data transparently. With so much interest in bitcoin, making bitcoin wallets are an attractive target for hackers. This research uses the Deep Neural Network (DNN). The dataset consists of 13 columns, 30,246,808 normal transactions and 1,326 anomalous transactions. The dataset is balanced by oversampling and undersampling techniques. The…

Edition: -
ISBN/ISSN: -
Collation: xiii, 60 hlm.; ilus.; 29 cm
Series Title: -
Call Number: T1308542023

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