Soesanto, Daniel and Ardiyanto, Igi and Adji, Teguh Bharata (2023) Implementation of Recency, Frequency, and Monetary Patterns in Adaptive Blockchain-Based Transactions. In: Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023), 14-15 September 2023, Yogyakarta.
![[thumbnail of 125994421.pdf]](/style/images/fileicons/application_pdf.png) |
PDF
125994421.pdf Download (420kB) |
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | RFM; Blockchain; Adaptive; Proof of Work |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering > Department of Informatic |
| Depositing User: | DANIEL SOESANTO |
| Date Deposited: | 18 Jul 2023 09:00 |
| Last Modified: | 24 Nov 2023 09:23 |
| URI: | http://repository.ubaya.ac.id/id/eprint/44518 |
Actions (login required)
 |
View Item |
