Μέθοδοι εξόρυξης γνώσης από δεδομένα υγείας συνεχούς ροής
Data mining from medical data streams
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Keywords
Εξόρυξη δεδομένων ; Δεδομένα υγείας συνεχούς ροής ; ΣυσταδοποίησηAbstract
With the development of new technologies, streaming data is becoming increasingly common in a variety of applications such as artificial intelligence, fraud detection, business intelligence and health. For this reason it is necessary to find techniques to extract knowledge from them. In the health sector in particular, appropriate processing of continuous flow data can be life-saving and draw important conclusions. This thesis investigates the various methods of data preparation by detecting incomplete, inconsistent data as well as outliers using appropriate methods.
At the same time, this thesis analyses the data. More specifically, it explores methods of summarizing data in order to resolve the issues that arise due to the huge amount of data. Finally, it deals with the aggregation of continuous flow data, but also with finding frequent patterns.
Postgraduate Studies Programme
Εφαρμοσμένη ΣτατιστικήDepartment
Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής ΕπιστήμηςNumber of pages
137Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα