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Tiwari, Sumit (2018) Bitcoin Modelling Using Data Mining Techniques: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.
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Abstract
In recent years bitcoin has been attracted eminent attraction all around world in the area of cryptocurrency and its unique peer to peer transaction system. Analyzing and forecasting is most common task for data scientists that helps organizations to improve there business strategies.
This report is built around the fact that in bitcoin trading and analysis, the factors underlying are basically the traditional price predictions using the data mining technique.The project aim to gather data on bitcoin, analyse and forecast in order to see the fall or rise in bitcoin price.The bitcoin Dataset used is bitcoinmarketcap. This report intend to help the reader and understand what approach and methodology used to complete different milestones.This report summarizing all the aspect used throughout this project.
This is done using different techniques and algorithm to predict and forecast the rise or fall of bitcoin with the use of Crisp-DM methodology.The techniques used in the projects are Time Series ARIMA ,Time Series( Facebook prophet API), Linear Regression and and Multiple Regression.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software H Social Sciences > HG Finance > Money > Currency H Social Sciences > HG Finance > Financial Services |
| Divisions: | School of Computing > Bachelor of Science (Honours) in Computing |
| Depositing User: | Caoimhe Ní Mhaicín |
| Date Deposited: | 08 Nov 2018 18:03 |
| Last Modified: | 08 Nov 2018 18:03 |
| URI: | https://norma.ncirl.ie/id/eprint/3506 |
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