Μελέτη και σύγκριση αλγόριθμων εξόρυξης
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Keywords
Data miningAbstract
Data mining has been one of the most important ways to process data in recent years, with the aim of extracting patterns for the production of new data-information as well as decision-making. Many times human ignorance and the inability to complexly connect large volumes of data do not make the necessary decisions obvious and feasible, respectively. In any field where the study of past data can identify future occurrences, in which corresponding decisions need to be made, data mining delivers. Each sector includes patterns such as stock market, health sector, science, labor sector, marketing, sales, machinery monitoring, and others. However, a small percentage of them use data mining to make future decisions, although all of them already apply ways to record a large amount of information. The above areas were highlighted to recognize the importance of using data mining techniques. However, such is the nature of their fields of application, where it is not only those with the special data formats they offer, but also the individual analyst, who will consider it appropriate to use method A or B. The objectives of data mining are set by the analyst, where his purpose is to find an appropriate method to achieve them.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
125Language
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