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 90
- Downloads 0
Cloud Management and Governance: Adapting IT Outsourcing to External Provision of Cloud-Based IT Services
Outsourcing is a strategic option which complements IT services provided internally in organizations. The maturity model for IT service outsourcing (henceforth MM-2GES) is a new holistic maturity model based on standards...
Pilot Study of Industry Perspective on Requirement Engineering Education: Measurement of Rasch Analysis
Software development industry identifies that human-based give a significant problem in Requirement Engineering. To that reason, education gives a substantial impact in delivering a skill worker and should be a medium to...
Network-State-Aware Quality of Service Provisioning for the Internet of Things
The Internet of Things (IoT) describes a diverse range of technologies to enable a diverse range of applications using diverse platforms for communication. IP-enabled Wireless Sensor Networks (6LoWPAN) are an integral pa...
Development of a Two Factor Authentication for Vehicle Parking Space Control based on Automatic Number Plate Recognition and Radio Frequency Identification
This paper proposed a two factor authentication for vehicle access controls using Automatic Number Plate Recognition (ANPR) and Radio Frequency Identification system (RFID) for the University of Zambia (UNZA) vehicle acc...
Greedy Algorithms to Optimize a Sentence Set Near-Uniformly Distributed on Syllable Units and Punctuation Marks
An optimum sentence set that near-uniformly dis-tributed on syllable units and punctuation marks is important to develop a syllable-based automatic speech recognition (ASR). It is usually extracted from a mother set of m...