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This database contains a copy of the historical time series of 9 cryptocurrencies from the https://www.kaggle.com/sudalairajkumar/cryptocurrencypricehistory dataset. It also calculates 6 criteria for each of these time series in two windows 15 and 7 days. Then there is an evaluation of these criteria through 4 techniques for determining relative weights; and evaluate their differences with a discrete multi-criteria method.
MCDA, Criptocurrency, time serie, CRITIC
MCDA, Criptocurrency, time serie, CRITIC
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 |

Views provided by UsageCounts