IJMECS Vol. 11, No. 6, Jun. 2019
Cover page and Table of Contents: PDF (size: 658KB)
Customer Relations Management (CRM) is an essential marketing approach which telecommunication companies use to interact with current and prospective customers. In recent years, researchers and practitioners have investigated customer churn prediction (CCP) as a CRM approach to differentiate churn from non-churn customers. CCP helps businesses to design better retention measures to retain and attract customers. However, a review of the telecommunication sector revealed little to no research works on appetency (i.e. customers likely to purchase new product) and up-selling (i.e. customers likely to buy upgrades) customers. In this paper, a novel up-selling and appetency prediction scheme is presented based on support vector machine (SVM) algorithm using linear and polynomial kernel functions. This study also investigated how using different sample sizes (i.e. training to test sets) impacted the classification performance. Our findings demonstrated that the polynomial kernel function obtained the highest accuracy and the least minimum error in the first three sample sizes (i.e. 80:20, 77:23, 75:25) %. The proposed model is effective in predicting appetency and up-sell customers from a publicly available dataset.[...] Read more.
Most students especially at the secondary school level have little or no interest in the subject ‘Mathematics’. Mathematics teachers have sought for better ways to present the subject so as to captivate the interest of students in order to improve their performance in Mathematics. In this paper, the study on the assessment of multimedia technology method of teaching Mathematics in secondary schools was carried out in Abuja using a public and private secondary school at different locations. The students were taught using the multimedia technology method and the traditional chalk and talk method. The students taught with the multimedia method were termed the experimental group while the students taught with traditional method were termed the control group. Questionnaires were being distributed to the students to fill after which a post-test of the same questions was administered to the students. The responses from the questionnaire were analyzed using frequencies and percentages to find out the method of teaching the students preferred most. Also, the analysis of the post-test result with a paired sample t-test clearly showed there was a significant difference in the mean scores of both teaching methods. The multimedia technology teaching method impacted greatly on the interest and performance of the students in Mathematics.[...] Read more.
The purpose of this study is to investigate whether does the redundancy principle occurs or not in the learning of C++ computer programming using screencasting. This principle was discovered by Mayer’s Cognitive Theory of Multimedia Learning (CTML) and stated that students learn better from graphics, and narrations than from graphics, narrations and on-screen text. There were mix outcomes pertaining to this principle, and the result might be due to the various topics learn by the students. Therefore, the subject introduction to C++ computer programming was chosen in this study to determine whether the redundancy principle occurs or not in the learning of C++ computer programming using screencasting. A true experimental pre-test and post-test research design was conducted, and sample were 65 first-year undergraduate students (aged 19-22). Samples were chosen based on the criteria that they have never attended any formal computer programming course prior to the study and were randomly assigned to two types of learning modes. The first group received the screencasting and narration (SN) mode whereas the second group received the screencasting, text, and narration (STN) mode. Results showed that the SN mode students outperformed the STN mode students in the post-test.[...] Read more.
Attention Deficit Hyperactivity Disorder (ADHD) is the most frequent brain disorders in children. Brain is the greatest complicated data processing part in human body. ADHD can begin in childhood age and may extend till adolescent too. ADHD patients activities/actions/behaviour are totally different from non ADHD patients. To solve the problem in early stage is more precious contribution for children life. Otherwise the disorder may cause further destruction in child brain. An activity of ADHD child is: carelessness, impulsive, and feverish. These activities may be common in other children too but for ADHD patients these activities are more severe and more often occurs. ADHD can arise problems at school, home, it may affect children learning ability, and child may not join with others. ADHD is one among many childhood syndromes. The paper summarises the different ADHD diagnosis methods and suggested treatments for the disorder.[...] Read more.
In order to improve analytical activities and providing support to decision makers in the field of terminology, the article proposes a decision support system developed based on the data warehouse technologies and online analytical processing OLAP. The architectural and technological model of the system, its integration with the terminological information system is presented. The role of this system in the National Terminology Information System is shown. The article also presents the structure of the data warehouse and the OLAP-cube developed on its basis.[...] Read more.
Self-adaptive systems appeared in order to reduce the effort of manual software maintenance. Apart from software attributes, for example, different alternative software modules, self-adaptation decisions depend on environmental attributes, for example, service rate, bandwidth etc. Current well-known self-adaptation approaches can be further improved by incorporating environmental attributes. Moreover, reducing maintenance effort includes minimizing both operational and development effort. To reduce the effort of developing self-adaptive software, the constituent components should be reusable. This paper proposes a technique to incorporate environmental attributes to learning-based self-adaptation and to increase the reuse potential of self-adaptive system components. The environmental attributes are provided as a constraint to an optimization problem which results in an optimal software attribute selection. Design patterns for self-adaptive system components are proposed to improve its reusability. The proposed technique was validated on a news serving website called Znn.com. According to renowned reusability metrics such as Lines of Code (LOC), Message Passing Coupling (MPC) and Lack of Cohesion of Methods 4 (LCOM4), the proposed technique improved reuse potential. The website was further tested for adaptation effectiveness under two scenarios – adaptation and without adaptation. According to our experiments, Adaptation gradually improved the main goal response time of the website where it performed poorly without adaptation.[...] Read more.