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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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| Published in: | Knowledge horizons : economics 2016-10, Vol.8 (4), p.44-47 |
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| Language: | English |
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| container_end_page | 47 |
| container_issue | 4 |
| container_start_page | 44 |
| container_title | Knowledge horizons : economics |
| container_volume | 8 |
| creator | Stancu, Ana-Maria Ramona Mocanu, Mihaela |
| description | 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. |
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| fulltext | fulltext |
| identifier | ISSN: 2069-0932 |
| ispartof | Knowledge horizons : economics, 2016-10, Vol.8 (4), p.44-47 |
| issn | 2069-0932 2066-1061 |
| language | eng |
| recordid | cdi_proquest_journals_2178933984 |
| source | ABI/INFORM Global |
| subjects | Algorithms Automation Banking Classification Data analysis Data mining Decision making Decision trees Entropy Trends |
| title | TECHNIQUES AND ALGORITHMS USED FOR KNOWLEDGE EXTRACTION FROM LARGE VOLUMES OF DATA |
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