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Based on the proposed linear threshold-hurdle model, two data mining methods based on the rough set technique, namely, decision rules and decomposition trees, are employed to predict product adoption in a large social network.
Data mining methods based on machine learning techniques are routinely applied to model complex physicochemical and chemo-biological endpoints.
Notwithstanding this, we attempted to compare our methods with other data mining methods based on our training and testing datasets.
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To represent and transfer such implicit and personal design knowledge of forming process, we propose a novel knowledge mining method based on graph theory.
Recently, a sequential rule mining method based on prefix-tree [21] achieves high efficiency.
The mining method, based on drilling and blasting excavation, is the main construction method of highway tunneling in China.
The AHP is used to help select the optimal mining method based on production, cost and environmental criteria.
The specific objectives were to (i) compare conventional surface mining method (drilling, blasting, digging, and loading) to a SM method, and (ii) apply the analytical hierarchy process (AHP) to help select the optimal mining method based on production, cost and environmental criteria.
The specific objectives were to (i) compare conventional surface mining method (drilling, blasting, digging, and loading) to a surface miner (SM) method, and (ii) apply the analytical hierarchy process (AHP) to help select the optimal mining method based on production, cost and environmental criteria.
Therefore, we introduced a pattern mining method based on a derivation method of polynomial curve fitting (DPCF) to describe the expression patterns of a specific gene among multiple conditions [ 17].
LAD is a data mining method based on combinatorics, Boolean functions, and optimization [ 7- 9] that has been successfully applied to data analysis problems in different domains, including biology and medicine [ 10- 14].
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