Σύγκριση αλγορίθμων και ανάλυση τεχνικών μηχανικής μάθησης
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Keywords
Μηχανική μάθηση ; Ανάλυση δεδομένων ; Αλγόριθμοι ; Σύνολο δεδομένωνAbstract
Data analysis in modern science deals with managing and interpreting actionable
information. A lot of conclusions can derive from the use and application of algorithms,
that help to analyze behaviors and predict future situations. These algorithms help in both
scientific and commercial fields.
This thesis aims to compare algorithms and analyze machine learning techniques.
Five different algorithms are applied, and their prediction and data analysis capabilities
are compared using a data set of a supermarket chain.
At the end of this thesis, the results of the algorithms are compared and the
algorithm that shows the best estimation in this prediction is presented.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
36Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού 3.0 Ελλάδα
Αναφορά Δημιουργού 3.0 Ελλάδα