Application of clustering methods and data visualization for decision making in higher education
Özet Görüntüleme: 152 / PDF İndirme: 131
DOI:
https://doi.org/10.26809/joa.2081Anahtar Kelimeler:
Machine Learning- Higher Education- Clustering Methods- Data VisualizationÖzet
This paper aims to present a case study to demonstrate the practical application of data visualization techniques and machine learning algorithms. Examining the data using various algorithms enables us to make predictions about how data visualization affects decision-making. Our study’s results support the notion that data visualization influences decision-making. Moreover, we delve into the implications of employing data visualization technology in the academic community, including faculty and students. Furthermore, we evaluate how data visualization influences decision making in higher education institutions, showcasing its potential to enhance the efficiency and speed of decision-making for stakeholders.
İndirmeler
Referanslar
AYODELE, T. (2010). Machine Learning Overview. 10.5772/9374
JİNXİN G., DAVİD B. HİTCHCOCK JAMES-STEİN. (2009) Shrinkage to Improve K-means Cluster Analysis University of South Carolina, Department of Statistics November 30, 2009
KLEIN, C., LESTER, J., NGUYEN, T., JUSTEN, A., RANGWALA, H., & JOHRI, A. (2019). Student Sensemaking of Learning Analytics Dashboard Interventions in Higher Education. Journal of Educational Technology Systems, 48(1), 130–154. https:// doi.org/10.1177/0047239519859854
MAIMON, O. & ROKACH, L. (2010) Data mining and knowledge discovery handbook Chapter 15 clustering method. http://www.ise.bgu.ac.il/faculty/liorr/hbchap15.pdf
MOHD, M., EMBONG, A. & MOHAMAD ZAIN, JASNI. (2010). A Framework of Dashboard System for Higher Education Using Graph-Based Visualization Technique. 87. 55- 69. 10.1007/978-3-642-14292-5_7
MOHAMMED J. Z., & WAGNER MEIRA, JR. (2014) Data Mining and Analysis Fondamental Concepts and Algorithms, ISBN: 978-0-521-76633-3
PANKAJ, S, & SUSHMA L. (2017) Analysis of Various Clustering Algorithms of Data Mining on Health Informatics, International Journal of Computer & Communication Technology ISSN (PRINT): 0975 -7449, Volume 6, Issue-2, 2017
SAPNA J., M AFSHAR A. & M N DOJA. (2010) K-means clustering using weka interface, Proceedings of the 4th National Conference; INDIACom-2010
SHABDIN, N., YAACOB, SURAYA & SJARIF, N.N.A. (2020). Relationship Types in Visual Analytics. 1-6. 10.1145/3397125.3397127
WARD, M. O., GRINSTEIN, G. & D. KEIM. (2015) Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition. A. K. Peters, Ltd., 2015.
ZOTOV, V., IBRAHIM, I. & PETUNINA, I. & LAZAREVA, Y.. (2021). Engagement of Students in Data Visualization for the Purpose of E-Learning Improvement. International Journal of Emerging Technologies in Learning (iJET). 16. 46. 10.3991/ijet. v16i02.18745
İndir
Yayınlanmış
Nasıl Atıf Yapılır
Sayı
Bölüm
Lisans
Telif Hakkı (c) 2023 Holistence Publications
Bu çalışma Creative Commons Attribution 4.0 International License ile lisanslanmıştır.
Yazarlar, makale Journal of Awareness’de yayınlanmak üzere kabul edildiğinde.makalenin içeriğindeki tüm telif haklarını, Rating Academy Ar-Ge Yazılım Yayıncılık Eğitim Danışmanlık ve Organizasyon Ticaret Ltd. Şti’ne devrederler. Yazarlar, patent hakları gibi telif hakkı dışındaki tüm mülkiyet haklarını saklı tutar.
Bu makalede yazar olarak listelenen herkes çalışmaya önemli, doğrudan, entelektüel katkılar yapmış olmalı ve bunun için kamu sorumluluğu almalıdır.
Bu makale daha once yayınlanmamış ve başka dergilerde yayınlanmak üzere gönderilmemiştir.