The goal of this manuscript is to provide an efficient approach to the process of the recruitment and selection of candidates in the mining industry. The proposed approach is based on the use of MCDM models for personnel selection in the mining industry; the approach will provide an MCDM model for the personnel selection based on the SWARA ant the MULTIMOORA methods. The efficiency and usabilit...

Background and Objective: Colorectal cancer (CRC) is one of the most prevalent malignancies in the world. The early detection of CRC is not only a simple process, but it is also the key to its treatment. Given that data mining algorithms could be potentially useful in cancer prognosis, diagnosis, and treatment, the main focus of this study is to measure the performance of some data mining class...

the use of fuzzy techniques has been considered to be one of the key components of data mining systems because of the affinity with human knowledge representation. A hybridization of fuzzy sets with genetic algorithms is described for Web mining in this paper. It is based on a hybrid technique that combines the strengths of rough set theory and genetic algorithm. The algorithm through the intro...

MapReduce is a software framework that allows certain kinds of parallelizable or distributable problems involving large data sets to be solved using computing clusters. This paper introduces our experience of grouping internet users by mining a huge volume of web access log of up to 500 gigabytes. The application is realized using hierarchical clustering algorithms with Map-Reduce, a parallel p...

Associative Classifier is a novel technique which is the integration of Association Rule Mining and Classification. The difficult task in building Associative Classifier model is the selection of relevant rules from a large number of class association rules (CARs). A very popular method of ordering rules for selection is based on confidence, support and antecedent size (CSA). Other methods are ...

Bioinformatics is producing a wealth of network data, ranging from molecular graphs to complex gene expression networks. To distinguish different classes of graphs, such as different functional classes of proteins, one common approach is to search for common frequent subgraphs. However, this method suffers from the fact that it quickly generates thousands or even millions of frequent subgraphs....

Data mining methodology can analyze relevant information results and produce different perspectives to understand more about the students’ activities. When designing an educational environment, applying data mining techniques discovers useful information that can be used in formative evaluation to assist educators establish a pedagogical basis for taking important decisions. Mining in education...

In this paper, we propose an approach to explore large texts by highlighting coherent sub-parts. The exploration method relies on a graph representation of the text according to Hoey’s linguistic model which allows the selection and the binding of adjacent and non-adjacent sentences. The main contribution of our work consists in proposing a method based on both Hoey’s linguistic model and a spe...