Aggregated associations – The method, algorithm, uses
The classical method of finding associations in the data matrix with the given support and reliability may not lead to finding all relevant facts in the data. This paper deals with a modified method of searching for so called aggregated associations, which can also find other non-trivial facts. The...
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| Published in | AIP conference proceedings Vol. 1863; no. 1 |
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| Main Authors | , , |
| Format | Journal Article Conference Proceeding |
| Language | English |
| Published |
Melville
American Institute of Physics
21.07.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0094-243X 1551-7616 |
| DOI | 10.1063/1.4992246 |
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| Abstract | The classical method of finding associations in the data matrix with the given support and reliability may not lead to finding all relevant facts in the data. This paper deals with a modified method of searching for so called aggregated associations, which can also find other non-trivial facts. The paper describes an algorithm that finds hypotheses of the form of aggregated associations and demonstrates its use in a practical example. |
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| AbstractList | The classical method of finding associations in the data matrix with the given support and reliability may not lead to finding all relevant facts in the data. This paper deals with a modified method of searching for so called aggregated associations, which can also find other non-trivial facts. The paper describes an algorithm that finds hypotheses of the form of aggregated associations and demonstrates its use in a practical example. |
| Author | Takács, Ondřej Šarmanová, Jana Oujezdský, Aleš |
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| Editor | Tsitouras, Charalambos Simos, Theodore |
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| Title | Aggregated associations – The method, algorithm, uses |
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