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As a result, traditionally, data mining technique has seldom being applied in real-time.
In frequent episode rules mining, data are viewed as a sequence of events, where each event has an associated time of occurrence; thus, such mining technique has significant effect on discovering sophisticated Probe/Exploit intrusion attacks.
One mining technique has ore being blasted from the vertical space between two tunnels; the resulting cavities, called "stopes," have to be inspected regularly to watch for problems and note progress.
Among biclustering methods, order-preserving biclustering by a sequential pattern mining technique has native advantage over the conventional biclustering approaches since it preserves the order of genes (or conditions) according to the magnitude of the expression value.
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Clustering, one of data mining techniques, has been adopted to solve radar sorting problem.
The incorporation of temporal semantics into traditional data mining techniques has led to the development of a new field called temporal data mining.
The classification and regression tree (CART), one of the most widely applied data mining techniques, has been commonly employed in business administration, industry, and engineering.
Classification and Regression Tree (CART), one of the most widely applied data mining techniques, has been commonly employed in business administration, industry, and engineering.
Lately, data anonymization using data mining techniques has showed noteworthy enhancement in data utility.
A data-mining technique has been used to analyze adverse event profiles of platinum agents, and it was observed that acute renal failure was also more predominant forcisplatin, and carboplatin did not increase the blood level of creatinine (Sakaeda et al., 2011).
Data mining techniques have been used for the classification of many types of products.
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