Προχωρημένες τεχνικές οπτικοποίησης σε δεδομένα μεγάλων διαστάσεων
Advanced visualization techniques for high dimensional data
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Abstract
In the age of big data we live in, there is a need to process huge amounts of large-scale data. However, the large dimension of data, the limited perception of the human mind, and the difficulty of visualizing them at the level or space are a great challenge for the development of effective visualization methods. The standard visualization methods that have been introduced work well for low-dimensional data but fail for high-dimensional data. Classical visualization methods are very simplistic, do not help to obtain a deeper insight into the data or are found to be overly cumbersome and computationally inadequate. Thisworkuseswell-known datasets to compare classic visualization methods and to propose new methods that are effective for visualizing large-dimensional data. Additionally, the most effective methods will be applied to real-world data on Fast Moving Consumer Goods and we will come to conclusions. Developing technology with tools for processing large data can give a great push to this process.
Postgraduate Studies Programme
Εφαρμοσμένη ΣτατιστικήDepartment
Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής ΕπιστήμηςCorporate Department
Πανεπιστήμιο ΠειραιώςNumber of pages
108Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση 4.0 Διεθνές
Αναφορά Δημιουργού-Μη Εμπορική Χρήση 4.0 Διεθνές