IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Analyzing and Predicting Student Academic Achievement Using Data Mining Techniques

Analyzing and Predicting Student Academic Achievement Using Data Mining Techniques
View Sample PDF
Author(s): Eric P. Jiang (University of San Diego, USA)
Copyright: 2015
Pages: 9
Source title: Encyclopedia of Information Science and Technology, Third Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-4666-5888-2.ch238

Purchase

View Analyzing and Predicting Student Academic Achievement Using Data Mining Techniques on the publisher's website for pricing and purchasing information.

Abstract



Related Content

Yair Wiseman. © 2021. 11 pages.
Mário Pereira Véstias. © 2021. 15 pages.
Mahfuzulhoq Chowdhury, Martin Maier. © 2021. 15 pages.
Gen'ichi Yasuda. © 2021. 12 pages.
Alba J. Jerónimo, María P. Barrera, Manuel F. Caro, Adán A. Gómez. © 2021. 19 pages.
Gregor Donaj, Mirjam Sepesy Maučec. © 2021. 14 pages.
Udit Singhania, B. K. Tripathy. © 2021. 11 pages.
Body Bottom