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Beschreibung
Association Rule Mining plays a vital role in many significant data mining tasks such as Frequent pattern mining, associations, sequential patterns, closed and colossal patterns, etc. The exponential increase in the availability of progressive and high dimensional datasets such as microarray and gene expression data with varying features enables to study of the performance of association rule mining techniques for efficient rule discovery. This book emphasizes the assessment of the performance of discovering association rules with Doubleton Pattern Mining (DPM) methods for mining various types of frequent patterns from high dimensional progressive data sets.
A Doubleton Pattern Mining Approach
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 15. Juli 2021 |
| Maße | 22 cm x 15 cm x 1.3 cm |
| Gewicht | 316 Gramm |
| Format | Softcover |
| ISBN-13 | 9786203930801 |
| Seiten | 200 |
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