… nominal data. The first consists in using another numerical representation of nominal data
(ie… from another classifier that can deal directly with nominal data without any conversion (ie, a …

… Stacking and Grading can be used for nominal data in the same way we have used
Cascading (ie a single Decision Tree at base level). Note that Stacking and Grading require an …

… cascading data to quantify how cascades typically spread. We describe a practical method
to process standard utility data to … the line length, nominal voltage rating and district. All this …

… Cascading other classification methods with decision tree learners can … cascade generalization
method in entity matching and report on empirical evaluation using real-world data. The …

… In Section 3, we extend the model with additional nominal variables, discuss the model
assumptions and present some asymptotic results. Section 4 presents the results of our Monte …

… fit the data using a single representation language, we present a family of algorithms, under
the generic name of Cascade … In the case of nominal attributes we use counts. Continuous …

… the risk of cascading failure. This paper discusses the challenges of cascading failure and
… simulation methods, including analyzing observed data, and simulations relying on various …

… the cascade (ie, one unit is added). The first layer of the cascade is trained with the original
data … , continuous features were left unchanged whereas is nominal features were mapped to …

… data. To make the inference of the largescale problem possible, we introduce a time window
for cascading … failures and the other for the cascading failure processes modulated by the …

… In case of a nominal FLC, the rulebase would be very large. Therefore cascading of FLCs is
proposed to … Since each data point is a candidate for cluster centres, a density measure at a …