Making sense of the stock market:Data mining financial time series for summarative patterns
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Siebes, Arno | |
dc.contributor.author | Vaglienti, F. | |
dc.date.accessioned | 2020-04-22T18:00:07Z | |
dc.date.available | 2020-04-22T18:00:07Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/35690 | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 1288090 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Making sense of the stock market:Data mining financial time series for summarative patterns | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Stock market, patterns, time-series, time series, timeseries, stocks, financial data analysis, finance, mdl, minimum description length, data mining | |
dc.subject.courseuu | Artificial Intelligence |