Artificial immune-based algorithm for academic leadership assessment

Hamidah Jantan, Nur Hamizah Syafiqah Che Azemi, Zulaiha Ali Othman

Research output: Contribution to journalArticle

Abstract

Artificial Immune-based algorithm is inspired by the biological immune system as computational intelligence approach in data analysis. Negative selection algorithm is derived from immune-based algorithm's family that used to recognize the pattern's changes perform by the gene detectors in complementary state. Due to the self-recognition ability, this algorithm is widely used to recognize the abnormal data or non-self especially for fault diagnosis, pattern recognition, network security etc. In this study, the self-recognition performance proposed by the negative selection algorithm been considered as a potential technique in classifying employee's competency. Assessing the employee's performance in organization is an important task for human resource management people to identify the right candidate in job promotion assessment. Thus, this study attempts to propose an immune-based model in assessing academic leadership performance. There are three phases involved in experimental phase i.e. data acquisition and preparation; model development; and analysis and evaluation. The data consists of academic leadership proficiency was prepared as data-set for learning and detection processes. Several experiments were conducted using cross validation process on different model to identify the most accurate model. Therefore, the accuracy of NS classifier is considered acceptable enough for this academic leadership assessment case study. For enhancement, other immune-based algorithm or bio-inspired algorithms, such as genetic algorithm, particle swam optimization, ant colony optimization would also be considered as a potential algorithm for performance assessment.

Original languageEnglish
Pages (from-to)364-370
Number of pages7
JournalInternational Journal of Advanced Computer Science and Applications
Volume10
Issue number8
Publication statusPublished - 1 Jan 2019
Externally publishedYes

Fingerprint

Personnel
Human resource management
Ant colony optimization
Immune system
Network security
Pattern recognition
Failure analysis
Artificial intelligence
Data acquisition
Classifiers
Genes
Genetic algorithms
Detectors
Experiments

Keywords

  • Academic leadership
  • Immune-based algorithm
  • Negative selection algorithm
  • Performance assessment

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Artificial immune-based algorithm for academic leadership assessment. / Jantan, Hamidah; Azemi, Nur Hamizah Syafiqah Che; Othman, Zulaiha Ali.

In: International Journal of Advanced Computer Science and Applications, Vol. 10, No. 8, 01.01.2019, p. 364-370.

Research output: Contribution to journalArticle

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