TECHNIQUES AND ALGORITHMS USED FOR KNOWLEDGE EXTRACTION FROM LARGE VOLUMES OF DATA

Large volumes of data have raised the problem of their use from the exploitation up to the result, and the Data Mining technology uses complex search methods that aim to identify some patterns and clusters of data, some trends in the consumers' behavior that can be used to anticipate their futu...

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Bibliographic Details
Published in:Knowledge horizons : economics 2016-10, Vol.8 (4), p.44-47
Main Authors: Stancu, Ana-Maria Ramona, Mocanu, Mihaela
Format: Article
Language:English
Subjects:
Algorithms
Automation
Banking
Classification
Data analysis
Data mining
Decision making
Decision trees
Entropy
Trends
Online Access:Get full text
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Summary:Large volumes of data have raised the problem of their use from the exploitation up to the result, and the Data Mining technology uses complex search methods that aim to identify some patterns and clusters of data, some trends in the consumers' behavior that can be used to anticipate their future behavior. Methods for knowledge extraction from data represent classes of problems that are subject to different solving algorithms. Of all algorithms, the current paper is dealing with decision trees and we will present a classifying application on which we will study the decision trees.
ISSN:2069-0932
2066-1061