Logistic regression analysis was used to examine attributes related to program-level decisions to engage in a structured process for making organizational changes.
Unfortunately, these measures have limited capacity to enable users to observe and explore faultlines and subgroup structure across the examined attributes efficiently.
That is because EMD is designed as an evolutionary process, which uses a wrapper fitness function with the chromosome encoding all cut-point of examined attributes.
This study demonstrates that of the examined attributes, university students expressed the strongest preference for a comprehensive testing service.
In the light of existing studies that show gender differences in demographic and behavioral correlates of sedentary behavior [ 14, 18- 20], we examined attributes associated with prolonged TV time among community-dwelling older men and women in Japan.
As shown in [ 28], we examine attributes selected at REPTree nodes for our sequence-based models in order to identify the most information-rich HIV-1 PR and RT residue positions used by those regression trees, thereby leading to their predictive capability.
Relationships among events in conventional system and network logs are not explicitly recorded and can only be determined from examining ancillary attributes of the events, such as, time stamps and event identifiers, or sometimes the semantics of the event attributes with some learning algorithms.
What it is: Attribute-based probability analysis attempts to understand why a customer behaves as he or she does by examining the attributes of the products a customer likes or dislikes.
When you log in to ING Direct, its fraud-detection system silently takes your computer's fingerprint, examining 40 attributes such as operating system, browser plug-ins and display settings, and compares them against an encrypted list of machines you've registered in advance.
kNN allows an object encountered in (n) dimensional feature space to be assigned to a predetermined class by examining the attributes of a new object [33].In kNN algorithm, classification process starts with the calculation of the distance of a new object with unknown class to each object in the training set.
