Data Analysis of Educational Websites Using RapidMiner

Main Article Content

Anum Akhtar
Saeeda Javaid
Sidra Ejaz
Rabail Shafique Satti

Abstract

With an exponential increase in the World Wide Web's size, collecting precise information which satisfies particular requirements is a challenge, especially when time is an entity of great importance leading to demand efficiency. In this paper, RapidMiner is used to collect information from educational websites. Collected data is analyzed and visualizations of data is created to evaluate it.

Article Details

How to Cite
Akhtar, A., Javaid, S., Ejaz, S., & Shafique Satti , R. (2019). Data Analysis of Educational Websites Using RapidMiner. University of Wah Journal of Science and Technology (UWJST), 3, 41-53. Retrieved from http://uwjst.org.pk/index.php/uwjst/article/view/26
Section
Articles
Author Biographies

Anum Akhtar, Fatima Jinnah Women University

Ms. Anum Akhtar is a software engineering student at Fatima Jinnah Women University, Rawalpindi, Pakistan. She worked as an intern in Data Warehouse, BI & Analytics department at Ufone, Islamabad. Her areas of interest are data science, big data, and web development.

Saeeda Javaid, Fatima Jinnah Women University

Ms. Saeeda Javaid is a student of Bachelors in Department of Software Engineering, Fatima Jinnah Women University, Rawalpindi, Pakistan. Her areas of interest are artificial intelligence and web development.

Sidra Ejaz, Fatima Jinnah Women University

Ms. Sidra Ejaz is an Assistant Professor in the Department of Software Engineering, Fatima Jinnah Women University, Rawalpindi, Pakistan. She has done her MS and Bachelors in software engineering. Ms. Ejaz is currently pursuing her Ph.D. from EME College, NUST. Her area of research is healthcare data analytics.

Rabail Shafique Satti , Fatima Jinnah Women University

Ms. Rabail Shafique Satti is an Assistant Professor in the Department of Computer Science, Fatima Jinnah Women University, Rawalpindi, Pakistan. Ms. Satti is currently pursuing her Ph.D. (computer science) from Capital University of Science & Technology, Islamabad. Her areas of interest are Computer Networks, Artificial Intelligence, and Information Security.

References

[1] M. Kunde. The Size of the Worldwide Web. Available online at https://www.worldwidewebsize.com/ on June 15, 2019.
[2] G. Deyan. How Many Websites are there in 2019 - Active and Inactive. Available online at https://techjury.net/blog/how-many-websites-are-there/ on June 15, 2019.
[3] R. Gupta, S. Gupta and A. Singhal. Big data: overview, International Journal of Computer Trends and Technology, Vol. 9 (5), pp. 266-268, 2014.
[4] National Research Council. Frontiers in Massive Data Analysis, The National Academies Press, Washington DC, 2013.
[5] H. U. Buhl, M. Roglinger, D. K. F. Moser and J. Heidemann. Big data, Business and information Systems Engineering, Vol. 5(2), pp. 65–69, 2013.
[6] A. A. Cardenas, P. K. Manadhata and S. P. Rajan. Big data analytics for Security, IEEE Security and Privacy, Vol. 6, pp. 74–76, 2013.
[7] C. P. Chen and C. Y. Zhang. Data intensive applications, challenges, techniques and technologies, a survey on big data, Information Sciences, Vol. 275, pp. 314–347, 2014.
[8] A. Elragal and M. Haddara. Big Data Analytics, Text Mining Based Literature Analysis, NOKOBIT, 2014.
[9] J. Gantz and D. Reinsel. The digital universe in 2020: Big data, bigger digital shadows and biggest growth in the far east, IDC iView: IDC Analyze the future, Vol. 2007, pp. 1-16, 2012.
[10] R. Gupta. Journey from data mining to web mining to big data, International Journal of Computer Trends and Technology, Vol. 10(1), pp. 18-20, 2014.
[11] O. Etzioni. The world wide web: quagmire or gold mine, Communications of the ACM, Vol. 39(11), pp 65-68, 1996.
[12] S. B. Joshi and S. D. Mundhe. Web mining and qualities of a website design to be evaluated for customer browsing behavior a review, International Journal of Computer Applications Technology and Research, Vol. 6(6), pp. 269-272, 2017.
[13] H. Dunham, Margaret and Sridhar. Data Mining Introductory and Advanced Topics, Pearson Education India, 2006.
[14] S. A Salloum, M. Alemran, A. A. Monem and K. Shaalan, Intelligent Natural Language Processing: Trends and Applications, Springer, 2018.
[15] A. F. Alsaqer and S. Sasi. Movie review summarization and sentiment analysis using rapidminer, International Conference on Networks and Advances in Computational Technologies, 2017, pp. 329-335.
[16] J. Lane and H. J. Kim. Big data: Web crawling and analysing financial news using rapid miner, International Journal of Business Information Systems, Vol. 19(1), pp. 41–57, 2015.