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This paper examined the students' history of accessing the university Learning Management System (LMS) data. Classification techniques are used to build an educational model based on Knowledge Discovery in Databases (KDD) to predict learner's behavior. It identified the most valuable influencer for learning outcomes of the learners; it generated prediction models using the J48 decision tree algorithm...
The Lempel-Ziv-Welch (LZW) algorithm has provided attractive data compression for storage medium with limited space. This study is motivated to improve database performance by compressing some of its attributes using LZW compression algorithm. Simulation results show that LZW is useful for practical purposes. Data compression will speed up data transmittal since the amount of memory needed is reduced...
This paper is directed towards the development of an improved DES to secure the data using smart cards. An improved Data Encryption Standard has been developed by incorporating an ODD/EVEN bit conversion to the existing DES algorithm. The proposed algorithm is expected to provide greater security to further protect the data in Smart Cards. The data is secured from any illegal retrieval and intended...
The system is specialized for pulmonary physicians focusing on tuberculosis and for patients already diagnosed with tuberculosis. The main focus for the development of the system is on the architecture and algorithm used to find the probable class of tuberculosis a patient may have. The class of tuberculosis is determined by using a rule base populated by rules made for the different classes of tuberculosis...
This paper investigates the different attributes used in evaluating faculty performance to come up with a regression model that predicts faculty performance. The main objective of this paper is to develop a model for predicting faculty performance and design a framework of data mining implementing ETL. The outcome of this research could be used as basis in improving the instruction in an academic...
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