Data Analysis of Educational Websites Using RapidMiner

Authors

  • Anum Akhtar Fatima Jinnah Women University
  • Saeeda Javaid Fatima Jinnah Women University
  • Sidra Ejaz Fatima Jinnah Women University
  • Rabail Shafique Satti Fatima Jinnah Women University

Keywords:

RapidMiner, Data-mining, web-mining, web-pages, big-data

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.

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.

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Published

2019-12-04

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 https://uwjst.org.pk/index.php/uwjst/article/view/26

Issue

Vol. 3 (2019): University of Wah Journal of Science and Technology (UWJST)

Section

Articles