Implementation of Recency, Frequency, and Monetary Patterns in Adaptive Blockchain-Based Transactions

Daniel Soesanto; Igi Ardiyanto; Teguh Bharata Adji

doi:10.2991/978-94-6463-288-0_39

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Implementation of Recency, Frequency, and Monetary Patterns in Adaptive Blockchain-Based Transactions

Authors

Daniel Soesanto¹, Igi Ardiyanto², Teguh Bharata Adji²^{, 1}^{, *}

¹University of Surabaya, Surabaya, Indonesia

²Gadjah Mada University, Yogyakarta, Indonesia

^*Corresponding author. Email: adji@ugm.ac.id

Corresponding Author

Teguh Bharata Adji

Available Online 19 November 2023.

DOI: 10.2991/978-94-6463-288-0_39 How to use a DOI?
Keywords: RFM; Blockchain; Adaptive; Proof of Work
Abstract: The development of cryptocurrency cannot be separated from the development of blockchain technology. However, problems arise related to the scalability of the blockchain itself. The long duration of the consensus process means that the scalability of the blockchain cannot increase. Various methods have been developed to overcome this consensus problem. One of the highlights is developing an adaptive consensus. But for adaptive consensus, clustering of blockchain transaction data is required. The Recency Frequency Monetary approach can be used for blockchain transaction clustering but with various adjustments. This research aims to implement Recency Frequency Monetary on blockchain transactions. The results of this study indicate that clustering can be carried out using adjusted Recency Frequency Monetary weighting for blockchain transaction data.
Copyright: © 2023 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)
Series: Atlantis Highlights in Engineering
Publication Date: 19 November 2023
ISBN: 10.2991/978-94-6463-288-0_39
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-288-0_39 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Daniel Soesanto
AU  - Igi Ardiyanto
AU  - Teguh Bharata Adji
PY  - 2023
DA  - 2023/11/19
TI  - Implementation of Recency, Frequency, and Monetary Patterns in Adaptive Blockchain-Based Transactions
BT  - Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)
PB  - Atlantis Press
SP  - 470
EP  - 485
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-288-0_39
DO  - 10.2991/978-94-6463-288-0_39
ID  - Soesanto2023
ER  -

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