| Naslov: | Synergy of blockchain technology and data mining techniques for anomaly detection |
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| Avtorji: | ID Kamišalić Latifić, Aida (Avtor)
ID Kovačević, Renata (Avtor)
ID Fister, Iztok (Avtor) |
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| Datoteke: |  applsci-11-07987-v2.pdf (681,73 KB)
MD5: 41F43303EE64D671F37DD0D30E498D49
 https://www.mdpi.com/2076-3417/11/17/7987
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Članek v reviji |
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| Tipologija: | 1.02 - Pregledni znanstveni članek |
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| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
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| Opis: | Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing
an important role in the modern Information Technology (IT) revolution. Blockchain has recently
been popularized by the rise of cryptocurrencies, while data mining has already been present in IT
for many decades. Data stored in a blockchain can also be considered to be big data, whereas data
mining methods can be applied to extract knowledge hidden in the blockchain. In a nutshell, this
paper presents the interplay of these two research areas. In this paper, we surveyed approaches for
the data mining of blockchain data, yet show several real-world applications. Special attention was
paid to anomaly detection and fraud detection, which were identified as the most prolific applications
of applying data mining methods on blockchain data. The paper concludes with challenges for future
investigations of this research area. |
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| Ključne besede: | anomaly detection, blockchain, distributed ledger, data mining, machine learning |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 27.07.2021 |
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| Datum sprejetja članka: | 25.08.2021 |
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| Datum objave: | 29.08.2021 |
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| Založnik: | MDPI |
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| Leto izida: | 2021 |
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| Št. strani: | 38 str. |
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| Številčenje: | Vol. 11, no. 17 |
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| PID: | 20.500.12556/DKUM-93179  |
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| UDK: | 004.8 |
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| COBISS.SI-ID: | 74447619 |
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| DOI: | 10.3390/app11177987 |
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| ISSN pri članku: | 2076-3417 |
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| Avtorske pravice: | © 2021 by the authors |
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| Datum objave v DKUM: | 16.06.2025 |
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| Število ogledov: | 142 |
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| Število prenosov: | 9 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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