Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …

Random forest (RF) is an ensemble learning method, and it is considered a reference due to
its excellent performance. Several improvements in RF have been published. A kind of …

Landslide susceptibility mapping has become one of the most important tools for the
management of landslide hazards. In this study, we proposed a novel approach to improve …

The correct selection of knowledge elements is the key to emergency management. Using
emergency knowledge elements, this study constructs an assertive reasoning selection …

Random Forest (RF) learning algorithm is considered a classifier of reference due its
excellent performance. Its success is based on the diversity of rules generated from decision …

Circle structure of online brand communities allows companies to conduct cross-marketing
activities by the influence of friends in different circles and build strong and lasting …

Abstract Multi-Label Classification (MLC) assumes that each instance belongs to a set of
labels, unlike traditional classification, where each instance corresponds to a unique value …

Machine learning is a prominent and an intensively studied field in the artificial intelligence
area which assists to enhance the performance of classification. In this paper, the main idea …

In general practice, the perception of noise has been inevitably negative. Specific to data
analytic, most of the existing techniques developed thus far comply with a noise-free …

The application of classifiers on data represents an important help in a process of decision
making. Any classifier, or other method used for knowledge extraction, suffers a deterioration …