School of Computing, Northern University of Malaysia,
Sintok, Kedah, Malaysia
Daffodil International University,
With the existence of gigantic data daily, the business strives to extract interesting patterns and take proactive decisions. The application of data mining and machine learning can gain success in the field of business as well as in the technical fields. In the last years, the applications over customers and their behaviors have increased dramatically as a way of driving forces to enhance business process and marketing strategies. Therefore, such applications provide business with intelligent capabilities for interpretation and decision-making processes for gaining profit of the business organization. Moreover, data mining and machine learning community have been applied in technical fields. It has been applied in software engineering in requirements engineering, program comprehension, maintenance, and software components analysis. Data mining and machine learning applications have also proven a useful tool in cybersecurity solutions for detecting vulnerabilities and proactively preventing attacks. The goal of this special issue is to cover a variety of topics and issues related to data mining applications. The special issue also welcomes manuscripts in theories and algorithms of data mining. Each manuscript will be reviewed by academics and practitioners who have worked in similar problem areas. The targeted readerships are technical and academic, as well as professionals in the domain.