Abstract This purpose of this case study was to investigate data management as an information tool and its importance within the Durban University of Technology. The problem revolved around, inter alia, data management and data accuracy as structured interventions impacting on monitoring, analysis and decision making. The research design adopted a quantitative methodological approach that used precoded self administered questionnaire for... This purpose of this case study was to investigate data management as an information tool and its importance within the Durban University of Technology. The problem revolved around, inter alia, data management and data accuracy as structured interventions impacting on monitoring, analysis and decision making. The research design adopted a quantitative methodological approach that used precoded self administered questionnaire for collecting data. The empirical component involved a survey method as this was an in-house investigation with a target population equating to only 174 respondents. A significant response rate of 74% was obtained using the personal method for the data collection. Several hypotheses were formulated relating to data quality initiatives, data owners and their responsibility and frequency of data analysis in order to determine accuracy. These were tested using the Pearson chi-square test as well as data that was analyzed to determine frequencies and percentages of responses. The data was analyzed using the computerized Statistical Package for Social Sciences (SPSS) program. A highly significant finding was that 95.31% of the respondents strongly agreed that data management and integrity is of utmost importance at the Durban University of Technology. One of the recommendations suggest that an imperative for the Durban University of Technology to manage its data as an asset, a policy on data integrity and integration policy should be developed and implemented. Another recommendation highlighted and staff should strive to attain proper classification on the database, considering that this directly impacts on the accuracy of the HEMIS submissions to the Ministry of Education for the state allocated subsidy. The study concludes with directions for further research as well. Read More Read Less

Abstract We have entered the era of social media networks represented by Facebook, Twitter, YouTube and Flickr. Internet users now spend more time on social networks than search engines. Business entities or public figures set up social networking pages to enhance direct interactions with on- line users. Social media systems heavily depend on users for content contribution and sharing. Information is... We have entered the era of social media networks represented by Facebook, Twitter, YouTube and Flickr. Internet users now spend more time on social networks than search engines. Business entities or public figures set up social networking pages to enhance direct interactions with on- line users. Social media systems heavily depend on users for content contribution and sharing. Information is spread across social networks quickly and effectively. However, at the same time social media networks become susceptible to different types of unwanted and malicious spammer. In order to increase the popularity of a video, marketing advertisements or simply pollute the system malicious users may post video response spam. A video spam is a video response whose content is not related to the topic being discussed in that particular video. In this project we consider finding out relation among different attribute that could lead to video spammers. We first construct moderate test collection of YouTube users, and manually classify them as either legitimate users or spammers. We then devise a number of attributes of video users and their social behavior which could potentially be used to detect spammers. Employing these attributes, we apply MICROSOFTs SQL server data mining tools (SSDT) to provide a heuristic for classifying an arbitrary video as either legitimate or spam. We then show that our approach succeeds at detecting much of the spam while only falsely classifying a small percentage of the legitimate videos as spam. Our results highlight the most important attributes for video response spam detection. Read More Read Less

Abstract Different methodologies are used to design and model a system, which having the ability to rank and to choose the most suitable component. In this paper we present the comparisons of membership and reduced membership functions for ranking of component. A model of different fuzzy rules is designed for three membership functions (mf) and then reduced the rules by reducing... Different methodologies are used to design and model a system, which having the ability to rank and to choose the most suitable component. In this paper we present the comparisons of membership and reduced membership functions for ranking of component. A model of different fuzzy rules is designed for three membership functions (mf) and then reduced the rules by reducing the membership functions. The proposed methodology applies on ISO/IEC 9126 quality model. The model having important features including functionality, reliability, usability, efficiency, maintainability and portability. Read More Read Less

Abstract Designing usable websites has become more important for usability experts due to the immense growth of an online community. Particularly, reaching potential customers and retaining them for a longer period of time is one of the major challenges for website owners and designers. Likewise, when a customer is adequately satisfied with his website interaction, the likelihood his retention becomes higher... Designing usable websites has become more important for usability experts due to the immense growth of an online community. Particularly, reaching potential customers and retaining them for a longer period of time is one of the major challenges for website owners and designers. Likewise, when a customer is adequately satisfied with his website interaction, the likelihood his retention becomes higher too. Customer satisfaction is therefore one of the criterions for measuring performance of a website. Researchers have given models to evaluate the overall performance of websites and one such evaluation framework is by Shanshan Qi. The said model has three aspects to evaluate performance of a website, (1) Service Performance, (2) Technique Performance, and (3) Special Service to Disabled People. The Service Performance aspect of model emphasizes on the parameters of customization, responsiveness, customer satisfaction, trust and security. However, customer satisfaction can be measured with the help of certain metrics. And we have seen that these metrics are useful as an improvement factor for the website to make the design process iterative. In this paper, we highlighted those metrics of customer satisfaction and we are presenting them as a model extension. Read More Read Less