… discrete attributes. To use such an algorithm when there are numeric attributes, all numeric
values … , robust algorithm that uses the χ 2 statistic to discretize (quantize) numeric attributes. …

… numerical and categorical attributes because there exists an awkward gap between the
similarity metrics for categorical and numerical … with categorical, numerical, and mixed attributes. …

… can be either categorical or numeric. … attributes, we also present a graph search algorithm
that, in addition, uses intermediate results to reduce the search. Finally, for numeric attributes, …

… In order to deal with numeric attributes, a common practice for those algorithms is to … way
to select features directly from numeric attributes while discretizing them. Numeric data are very …

… To detect errors in numeric data, this … numeric attributes. We show that NFDs subsume
conditional functional dependencies (CFDs); hence, we can catch data inconsistencies, numeric …

… We will discuss how the numeric attributes are handled later.) Let the … When a I test for a
numeric attribute is selected, it effectively discretizes the attribute by introducing a cut point in its …

… Several approaches to handling numeric attributes during … 2 Numeric Attributes and
Hoeffding Trees All the methods described in this section attempt to handle numeric attributes at …

Given a huge database, we address the problem of finding association rules for numeric
attributes, such as

… While in this study we explored only several specific numerical attributes … attribute type. The
only change required for incorporation of a new attribute type is the development of attribute-…

… entities for which the value of the numerical attribute a is known as Ea ⊆ E. Let e be an
entity with numerical attribute a, then we denote the known numerical value for attribute a as na …