Ευαγγελίδης, ΓεώργιοςΚαγιάς, ΑντώνιοςΔιπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2025.Approved for entry into archive by ΕΛΙΣΑΒΕΤ ΧΑΝΤΑΒΑΡΙΔΟΥ (elisach@uom.edu.gr) on 2025-02-07T12:23:56Z (GMT) No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) KagiasAntoniosMsc2025.pdf: 943419 bytes, checksum: d9015d47f8cc5265b289ee76e3da6593 (MD5)Made available in DSpace on 2025-02-07T12:23:56Z (GMT). No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) KagiasAntoniosMsc2025.pdf: 943419 bytes, checksum: d9015d47f8cc5265b289ee76e3da6593 (MD5) Previous issue date: 2025Submitted by ΑΝΤΩΝΙΟΣ ΚΑΓΙΑΣ (aid23003@uom.edu.gr) on 2025-02-07T11:42:48Z No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) KagiasAntoniosMsc2025.pdf: 943419 bytes, checksum: d9015d47f8cc5265b289ee76e3da6593 (MD5)Over the last few decades, an increasing amount of data that have multiple labels - such as songs and images - has been generated and utilized in many aspects of everyday life. While there is a number of past researches that address the classification of this type of data, the aspect of taking the order of the labels into account is a field that needs further investigation. This thesis examines the problem of multi-label data classification where the labels of the instances are ordered based on importance. By developing and deploying four different classifiers, each with a distinct approach of classifying data, multiple experiments were conducted in order to evaluate whether our algorithms can produce satisfactory classifications while at the same time taking into consideration the order of the labels. Using a variety of metrics to measure the performance of the classifiers, our analysis demonstrated that, while none of the classifiers significantly outperformed the others, two of them provided somewhat superior results in certain areas. This marginal prevalence of the two classifiers leads us to conclude that their use is probably preferable in classifications problems under specific circumstances.http://dspace.lib.uom.gr/handle/2159/32199Πανεπιστήμιο ΜακεδονίαςAttribution-NonCommercial-NoDerivatives 4.0 Διεθνέςhttp://creativecommons.org/licenses/by-nc-nd/4.0/Data miningClassification on Multi-label Data with Ordered LabelsElectronic Thesis or DissertationText2025-02-07T12:23:56ZΤεχνητή νοημοσύνηArtificial Intelligenceisi - Computer Science, Artificial Intelligence covers resources that focus on research and techniques to create machines that attempt to efficiently reason, problem-solve, use knowledge representation, and perform analysis of contradictory or ambiguous information. This category includes resources on artificial intelligence technologies such as expert systems, fuzzy systems, natural language processing, speech recognition, pattern recognition, computer vision, decision-support systems, knowledge bases, and neural networks.Μεταπτυχιακή εργασίαMaster thesisΠανεπιστήμιο ΜακεδονίαςGreek Aggregator OpenArchives.gr | National Documentation Centre (EKT)