Rough set theory: a data mining tool for semiconductor manufacturing
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Cites background from "Rough set theory: a data mining too..."
...Kusiak [119] discussed the basic concept of RST as a prediction model....
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411 citations
Cites background from "Rough set theory: a data mining too..."
...However, the applications of data mining in the semiconductor industry are mostly related to engineering data analysis and yield enhancement (Braha & Shmilovici, 2002; Kusiak, 2001; Chien, Hsiao, & Wang, 2004; Chien, Wang, & Cheng, 2007)....
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277 citations
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Cites background from "Rough set theory: a data mining too..."
...Examples include semiconductor manufacturing [20,35], the automobile industry [21], business failure predictions [3], customer retention [19], intelligent image filtering [42], clinical databases [36], classification of highway sections [22], and web mining [15] just to name a few....
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References
7,826 citations
"Rough set theory: a data mining too..." refers background in this paper
...A reduct is a minimal sufficient subset of features RED such that (Shan et al. [22] after Pawlak [ 21 ]): a) (RED) , i.e., RED produces the same classification of objects as the collection of all features; b) for any feature RED, (RED , i.e., a reduct is a minimal subset with respect to the property a);...
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...discourse [ 21 ]. Objects described by the same properly selected information (referred in this paper as features) are indiscernible....
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7,385 citations
"Rough set theory: a data mining too..." refers methods in this paper
...The cross-validation method discussed in [20] suggests dividing the set of all objects into disjoint groups, usually of equal size....
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4,624 citations
"Rough set theory: a data mining too..." refers background in this paper
...Accuracy is defined as the total number of true positives added to the total number of true negatives divided by the total number of patients studied [25], i....
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...16 the following metrics are defined in addition to accuracy [25]:...
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4,438 citations