Association mining
| Autor: | John F. Roddick, Aaron Ceglar |
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| Rok vydání: | 2006 |
| Předmět: | |
| Zdroj: | ACM Computing Surveys. 38:5 |
| ISSN: | 1557-7341 0360-0300 |
| DOI: | 10.1145/1132956.1132958 |
| Popis: | The task of finding correlations between items in a dataset, association mining, has received considerable attention over the last decade. This article presents a survey of association mining fundamentals, detailing the evolution of association mining algorithms from the seminal to the state-of-the-art. This survey focuses on the fundamental principles of association mining, that is, itemset identification, rule generation, and their generic optimizations. |
| Databáze: | OpenAIRE |
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