Michal Tkáč
Biographic Data
| ID | 5970494 |
|---|---|
| NAME | Michal Tkáč |
| GIVEN NAMES | Michal |
| FAMILY NAME | Tkáč |
| SIGNATURE | TKÁČ M |
| AFFILIATIONS | Bratislava University of Economics and Business |
| ORCID | 0000-0003-2186-6527 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Comparison of Machine Learning Algorithms for Creation of a Bitcoin Price Prediction Model
With theadvancement ofmachine learning tools, anincreasing number ofalgorithms are being utilized for predicting not only traditional time series data related tofinancial markets but also those connected tocryptocurrencies. This paper aims tocompare various machine learning algorithms used for prediction, inorder toidentify theone with thegreatest practical potential for creating aprediction model ofBitcoin’s price asaninvestment asset. Theanalys…
Impact of Selected Factors on the Results of Electronic Reverse Auctions
In the study, we focus on examining the impact of selected factors on the results of electronic reverse auctions and thus the savings achieved. The study extends the knowledge of extant literature to empirical insights and uses currently the broadest sample of approximately 16,000 e-auction cases. The study confirms that the savings calculation method and the use of a comparative or initial price affect the outcome of the auction as well as the i…
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Impact of Selected Factors on the Results of Electronic Reverse Auctions
In the study, we focus on examining the impact of selected factors on the results of electronic reverse auctions and thus the savings achieved. The study extends the knowledge of extant literature to empirical insights and uses currently the broadest sample of approximately 16,000 e-auction cases. The study confirms that the savings calculation method and the use of a comparative or initial price affect the outcome of the auction as well as the i…
Comparison of Machine Learning Algorithms for Creation of a Bitcoin Price Prediction Model
With theadvancement ofmachine learning tools, anincreasing number ofalgorithms are being utilized for predicting not only traditional time series data related tofinancial markets but also those connected tocryptocurrencies. This paper aims tocompare various machine learning algorithms used for prediction, inorder toidentify theone with thegreatest practical potential for creating aprediction model ofBitcoin’s price asaninvestment asset. Theanalys…
Computer Science (2 works) · Economics (2 works) · Affect (linguistics) (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Auction Theory and Applications (1 work) · Common value auction (1 work) · Consumer Market Behavior and Pricing (1 work) · Electronic markets (1 work) · Extant taxon (1 work)