The method of cultivating employability of computer majors in colleges and universities based on data mining. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Wang, Wei
• Is Part Of: Journal of control and decision. Volume 10:Issue 1(2023)
• Page Start: 99
• Page End: 111
• Publication Date: 2023-01-02
• Subjects: Data mining -- education -- computer -- employment -- evaluation; Control theory -- Periodicals; Decision making -- Periodicals; Robotics -- Periodicals; 003.505
• DOI: 10.1080/23307706.2022.2056094
• Languages: English
• ISSNs: 2330-7706

Abstract

Abstract : Employability is a set of achievements – skills, understandings, and personal attributes – that makes graduate students more going to benefit from work. It well values it for several students to get a degree in computer science. For decades, traditional information sources and methodologies were too expensive and cumbersome to obtain the finer details of learning processes that digital trace amounts of student behavior could provide, and decision-making skills are the basic challenges. Hence the proposed model Amalgamation of Computer Majors based on Data Mining (ACM-DM) is employed to satisfy the challenges discussed above. Training investigators in instructional data science methodologies and balancing the need to protect personal information with sharing data are challenges. As a result, the proposed model helps achieve data, performance, accuracy, interoperability, and security analysis compared to other majors if included in colleges based on data mining.