Evaluation of the scholastic performance of students in 12 programs from a private university in the south-west geopolitical zone in Nigeria

Ogundokun, Roseline Oluwaseun; Adebiyi, Marion Olubunmi; Abikoye, Oluwakemi Christiana; Oladele, Tinuke Omolewa; Lukman, Adewale F.; Adeniyi, Abidemi Emmanuel; Adegun, Adekanmi Adeyinka; Gbadamosi, Bolanle; Oluwatobi, Akande Noah

doi:10.12688/f1000research.16762.2

Cited by 11 publications

(8 citation statements)

References 4 publications

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“…Several dimensionality reduction, clustering and classification approach for datamining have been used to model the prediction of chur customers in the banking sector. Some of these techniques used to achieve these models are the decision trees, SVM, Neural networks, random forest, k-means, PCA, ANOVA [30,31], among others.…”

Section: Data Miningmentioning

confidence: 99%

Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF

Alabi

Abdulsalam

Ogundokun

et al. 2021

Communications in Computer and Information Science

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Financial credit risk analysis management has been a foremost influence with a lot of challenges, especially for banks reducing their principal loss. In this study, the machine learning technique is a promising area used for credit scoring for analyzing risks in banks. It has become critical to extract beneficial knowledge for a great number of complex datasets. In this study, a machine learning approach using Chi-Square with SVM-RBF classifier was analyzed for Taiwan bank credit data. The model provides important information with enhanced accuracy that will help in predicting loan status. The experiment achieves 93% accuracy compared to the state-of-the-art.

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Section: Data Miningmentioning

confidence: 99%

Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF

Alabi

Abdulsalam

Ogundokun

et al. 2021

Communications in Computer and Information Science

Self Cite

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“…A heterogeneous social network [20] was constructed to describe the relationship between researchers and companies, a company and a researcher are deemed to have a relationship if they have co-authored academic articles, co-participated in projects or co-invented patents. A dataset [21,22] is created for researchers who have directly collaborated with companies before, it is assumed that researchers within the same domain as the researchers in this dataset can collaborate with them. Company similarity is also used to determine potential collaborations, companies that have worked on similar patents, articles, and projects.…”

Section: Literature Reviewmentioning

confidence: 99%

Semantics-based clustering approach for similar research area detection

et al. 2020

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The manual process of searching out individuals in an already existing research field is cumbersome and time-consuming. Prominent and rookie researchers alike are predisposed to seek existing research publications in a research field of interest before coming up with a thesis. From extant literature, automated similar research area detection systems have been developed to solve this problem. However, most of them use keyword-matching techniques, which do not sufficiently capture the implicit semantics of keywords thereby leaving out some research articles. In this study, we propose the use of ontology-based pre-processing, Latent Semantic Indexing and K-Means Clustering to develop a prototype similar research area detection system, that can be used to determine similar research domain publications. Our proposed system solves the challenge of high dimensionality and data sparsity faced by the traditional document clustering technique. Our system is evaluated with randomly selected publications from faculties in Nigerian universities and results show that the integration of ontologies in preprocessing provides more accurate clustering results.

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“…Information is daily needed in schools [5]. Information transfer among individuals, secondary school students, university students [6,7] or personnel remains a challenge for many institutions [8]. Information flow is necessary for maximizing profits and performance within a school [9].…”

Section: Introductionmentioning

confidence: 99%

Interactive website on information dissemination

Sadiku

Ogundokun

Ogundokun³

et al. 2021

TELKOMNIKA

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A school is an educational institution for imparting knowledge to children. In an age where information acquisition about a school is assuming astronomical heights, the need for cost-effective and efficient information transmission methods cannot be overemphasized; hence the use of the website of a school to disseminate information is advised. This study examines the process of disseminating information on a school website using a college in the Northcentral of the six-geopolitical zone in Nigeria as a case study. A prior study of manually or locally dissemination of information in a school was carried out and its limitations are highlighted. A website that is able to handle processes like admission, comment, and newsletter has been analyzed and developed using hyper-text language, cascading style sheet, hypertext preprocessor. The study results in solving the information dissemination problem in the college with the development of an educational interactive website.

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Evaluation of the scholastic performance of students in 12 programs from a private university in the south-west geopolitical zone in Nigeria

Cited by 11 publications

References 4 publications

Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF

Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF

Semantics-based clustering approach for similar research area detection

Interactive website on information dissemination

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