Intelligence Performance in Students’ Absence System with Predicted Information by Data mining Algorithms
Abstract
Full Text:
PDFReferences
Jiawei H., Data Mining: Concepts and Techniques, 3rd ed.,Morgan Kaufmann Publishers, USA: 2012: pp 4-10.
Kalpesh A., Aditya G., Amiraj D., Rohit J., Vipul H., “PREDICTING STUDENTS’ PERFORMANCE USING ID3 AND C4.5 CLASSIFICATION ALGORITHMSâ€, International Journal of Data Mining & Knowledge Management Process (IJDKP), Vol.3, No.5, September
Wang X.,Wang L.,Li N., “An Application of Decision Tree Based on ID3â€, 2012 International Conference on Solid State Devices and Materials Science, Physics Procedia 25 ( 2012 ) 1017 – 1021
Yuesheng T., Zhansheng Q., Jingyu W., “Applications of ID3 algorithms in computer crime forensics â€, 2011 International Conference on Multimedia Technology, 26-28 July 2011.
Ali D., Waffa A, Ali A, “Prioritizing Software Capabilities and Focal Points of MS Access and Excel in Perspective of Data Managementâ€, Applied Computer Science, vol. 14, no. 3, pp. 15–30.
Mohammed J., Wagner M., Data Mining and Analysis: Fundamental Concepts and Algorithms, 1st ed., Cambridge University Press, NY USA, 2014: pp 3-30.
Kantardzic M., Data Mining: Concepts, Models, Methods, and Algorithms, 2nd ed., IEEE press, August 2018: pp 2-24.
Bhumika G., et al "Analysis of Various Decision Tree Algorithms for Classification in Data Mining", International Journal of Computer Applications, 2017: Vol. 163, No 8.
Rahman N., “Data Mining Problems Classification and Techniquesâ€, International Journal of Big Data and Analytics in Healthcare, January-June 2018: Vol. 3 No. 1, p 37-58,
Brown L., Mues C., "An experimental comparison of classification algorithms for imbalanced credit scoring data sets", Expert Systems with Applications: February 2012, Volume 39, Issue 3, 15, Pages 3446-3453.
Rokach L., Maimon O., “data mining with decision trees: Theory and Applicationsâ€, 2014: 2nd. ed. World Scientific, London UK.
Dai Q., et al “Research of Decision Tree Classification Algorithm in Data Miningâ€, SERSC: IJDTA, 2016: Vol.9, No.5 pp.1-8.
J. Ross Quinlan, "C4.5: Programs for Machine Learning" 1993:6th ed.,morgan kaufmann publishers
Rupali Bhardwaj , Sonia Vatta "Implementation of ID3 Algorithm", International Journal of Advanced Research in Computer Science and Software Engineering. Vol 3, Issue 6, June 2013
B. Hitarthi, M. Shraddha, R. Lynette. "Use of ID3 Decision Tree Algorithm for Placement Prediction", International Journal of Computer Science and Information Technologies. Vol. 6 (5), 2015
Mathur, n.. et al “the base strategy for id3 algorithm of data mining using havrda and charvat entropy based on decision treeâ€, international journal of information and electronics engineering, , march 2012: vol. 2, no. 2.
Adhatrao k., et al “predicting students’ performance using id3 and c4.5 classification algorithmsâ€, international journal of data mining & knowledge management process (ijdkp). september 2013: vol.3, no.5.
Christopher C. Brown, Denise Pan, and Gabrielle Wiersma, "Advanced Data Analysis: From Excel PivotTables to Microsoft Access" (2014). Proceedings of the Charleston Library Conference. p 571.
Rob J., Khandakar Y. “Automatic Time Series Forecasting: The forecast Package for Râ€, Journal of Statistical Software July 2008, Vol. 27, No. 3.
DOI: https://doi.org/10.33633/jais.v3i2.2057
Article Metrics
Abstract view : 359 timesPDF - 301 times
Refbacks
- There are currently no refbacks.
Journal of Applied Intelligent System (e-ISSN : 2502-9401, p-ISSN : 2503-0493) is published by Department of Informatics Universitas Dian Nuswantoro Semarang and IndoCEISS.
Journal of Applied Intelligent System indexed by :
This journal is under licensed of Creative Commons Attribution 4.0 International License.