Work

Data Mining: Analysis of student database using Classification Techniques

Year: 2016

Type: article

Abstract: Data Analysis can be categorized into two forms.One is used for extracting models describing important classes; another is to predict future trends.Data classification can be used to generate models which are further used to predict the unknown classes.The accuracy of the models can be examined by checking the percentage of correctly classified instance.Lot of classification algorithms is available nowadays.One of the most commonly used algorithms is decision tree because of its simplicity of implementation and easier to understand when compared to other classification algorithms.J48 is the one of the effective classification method.In this paper, J48 algorithm is applied for analyzing student dataset which includes academic year, department, academic grade and job position

Source: International Journal of Computer Applications

DOI: 10.5120/ijca2016909703

Authors: K. Sumathi, S. Kannan, K. Nagarajan

Institutions: Kalasalingam Academy of Research and Education, Madurai Kamaraj University

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

OpenAlex ID: W2394781625

FWCI: 1.681

Cites: 6

Cited by: 17

Related to: 10