In this paper, a Pearson's correlation coefficient based decision tree (PCC-Tree) is
established and its parallel implementation is developed in the framework of Map-Reduce …

Breast cancer is the most common cause of death for women worldwide. Thus, the ability of
artificial intelligence systems to detect possible breast cancer is very important. In this paper …

In recent years, intrusion detection systems (IDSs) are offering effective solutions to protect
various types of cyber-attacks in different networks such as Internet of Vehicles (IoVs) …

A landslide susceptibility model based on a metaheuristic optimization algorithm (germinal
center optimization (GCO)) and support vector classification (SVC) is proposed and applied …

The constant need to assess loans makes risk evaluation a very important problem for the
banking sector. A crucial function of the banks is to fund households and companies from …

Due to its strong performance in handling uncertain and ambiguous data, the fuzzy-nearest-
neighbor method (FKNN) has realized substantial success in a wide variety of applications …

Following the recent successful examples of large technology companies, many modern
enterprises seek to build Knowledge Graphs to provide a unified view of corporate …

Crohn's disease (CD) and intestinal tuberculosis (ITB) have many similarities and overlaps
in their clinical manifestations and medical imaging features, which makes it difficult to …

School enterprise cooperation is of great strategic significance to China's manufacturing
industry. The Party Central Committee has repeatedly proposed to strengthen the integration …

In this research, a set of data mining techniques are applied to target to balance between the
industry requirement and user satisfaction. The proposed approach aims at exploring the …