Studying Data Mining and Data Warehousing with Different E-Learning System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 1
Abstract
Data Mining and Data Warehousing are two most significant techniques for pattern detection and concentrated data management in present technology. ELearning is one of the most important applications of data mining. The foremost idea is to provide a proposal for a practical model and architecture. The standards and system structural design are analyzed here. This paper provides importance to the combination of Web Services on the e-Learning application domain, because Web Service is the most complex choice for distance education during these days. The process of e-Learning can be promising more efficiently by utilizing of Web usage mining. Mor07/e sophisticated tools are developed for internet customer’s behaviour to boost sales and profit, but no such tools are developed to recognize learner’s performance in e-Learning. In this paper, some data mining techniques are examined that could be used to improve web-based learning environments.
Authors and Affiliations
Dr. Mohamed F. AlAjmi , Shakir Khan , Dr. Arun Sharma
Keywords
Related Articles
- EP ID EP109134
- DOI 10.14569/IJACSA.2013.040122
- Views 94
- Downloads 0
Analysis of Received Power Characteristics of Commercial Photodiodes in Indoor Los Channel Visible Light Communication
To date, the photodiode still the first choice component is used in optical communication, especially for visible light communication (VLC) system. It has advantages of speed, energy consumption, and sensitivity, compare...
Impact of Privacy Issues on Smart City Services in a Model Smart City
With the recent technological development, there is prevalent trend for smart infrastructure deployment with intention to provide smart services for inhabitants. City governments of current era are under huge pressure to...
Web Service Testing Techniques: A Systematic Literature Review
These days continual demands on loosely coupled systems have web service gives basic necessities to deliver resolution that are adaptable and sufficient to be work at runtime for maintaining the high quality of the syste...
Framework Utilizing Machine Learning to Facilitate Gait Analysis as an Indicator of Vascular Dementia
Vascular dementia (VD), the second most common type of dementia, effects approximately 13.9 per cent of people over the age of 71 in the United States alone. 26% of individuals develop VD after being diagnosed with conge...
Fine Particulate Matter Concentration Level Prediction by using Tree-based Ensemble Classification Algorithms
Pollutant forecasting is an important problem in the environmental sciences. Data mining is an approach to discover knowledge from large data. This paper tries to use data mining methods to forecast ?PM?_(2.5) concentrat...