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A Stock Market Prediction System, utilizing a combination of data mining algorithms on “gvol-candlesticks”© patterns and neural networks focused on an input smart pre-process system using technical indicators.
dc.contributor.advisor | Liolios, Nikolaos | en |
dc.creator | Goumatianos, Nikitas | en |
dc.date.accessioned | 2020-07-12T09:23:47Z | |
dc.date.available | 2020-07-12T09:23:47Z | |
dc.date.issued | 2008 | |
dc.identifier.other | 20941 | |
dc.identifier.uri | http://hdl.handle.net/11615/52911 | |
dc.identifier.uri | http://dx.doi.org/10.26253/heal.uth.8873 | |
dc.description.abstract | The dissertation explores aspects and methods beyond technical analysis hoping to bring successful results in the stock market. Actually, it involves two different scientific approaches. The one approach is to discover unknown patterns that can be used fo | en |
dc.language.iso | en | en |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.subject | data mining | en |
dc.subject | algorithms | en |
dc.subject | neural networks | en |
dc.title | A Stock Market Prediction System, utilizing a combination of data mining algorithms on “gvol-candlesticks”© patterns and neural networks focused on an input smart pre-process system using technical indicators. | en |
dc.type | masterThesis | en |
heal.recordProvider | Πανεπιστήμιο Θεσσαλίας - Βιβλιοθήκη και Κέντρο Πληροφόρησης | el |
heal.academicPublisher | ΤΕΙ Θεσσαλίας. Τμήμα Μηχανικών Πληροφορικής T.E. | el |
heal.academicPublisherID | teilar | |
heal.fullTextAvailability | TRUE | en |
dc.rights.accessRights | free | en |