Implementation of Recency, Frequency, and Monetary Patterns in Adaptive Blockchain-Based Transactions
- DOI
- 10.2991/978-94-6463-288-0_39How 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.
Cite this article
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 -