Abstract: This paper presents a semi supervised clustering technique with incremental and decremented affinity propagation (ID-AP) that structures labeled exemplars into the AP algorithm and a new method for actively selecting informative constraints to make available of improved clustering performance. The clustering and active learning methods are both scalable to large data sets, and can hold very high dimensional data. In this paper, the active learning challenges are examined to choose ...
Abstract: Natural language processing (NLP) is widely used in multi-media real-time applications for understanding human interactions through computer aided-analysis. NLP is common in auto-filling, voice recognition, typo-checking applications, and so forth. Multilingual NLP requires vast data processing and interaction recognition features for leveraging content retrieval precision. To strengthen this concept, a predictive typological content retrieval method is introduced in this article. ...
Abstract: Data is growing every day. This daily growing data is called Big Data. The capturing and accessing and preserving of these data is different and difficult. If capturing and preserving of data became very difficult, then classifying data according to the need is also a difficult process. These modern days datasets are high dimensional that is with hundreds of features and keeps on increasing in future. But these hundreds of data are not required for an effective data classification....
Abstract: A series of ester and ether bridged compounds bearing the nitro and amino moieties were synthesized and characterized, in order to assess their ability to potentially serve as antibacterial agents against drug resistant bacteria. All the compounds were obtained at considerable yields while characterization techniques confirmed their successful synthesis. Furthermore, their antimicrobial assessments showed that all the compounds exhibited antibacterial activity against the Gram-nega...
Abstract: In the living organism, almost entire cell functions are performed by protein-protein interactions. As experimental and computing technology advances, yet more Protein-Protein Interaction (PPI) data becomes processed, and PPI networks become denser. The traditional methods utilize the network structure to examine the protein structure. Still, it consumes more time and cost and creates computing complexity when the system has gene duplications and a complementary interface. This res...
Abstract: Android applications are indispensable resources that facilitate communication, health monitoring, planning, data sharing and synchronization, social interaction, business and financial transactions. However, the rapid increase in the smartphone penetration rate has consequently led to an increase in cyberattacks. Smartphone applications use permissions to allow users to utilize different functionalities, making them susceptible to malicious software (malware). Despite the rise in ...
Abstract: Educational data mining has become an efective tool for exploring the hidden relationships in educational data and predicting students’ academic performance. The prediction of student academic performance has drawn considerable attention in education. However, although the learning outcomes are believed to improve learning and teaching, prognosticating the attainment of student outcomes remains underexplored. To achieve qualitative education standard, several attempts have been m...
Abstract: This study exposes the untold success story of Zimbabwe's ecotourism projects. Literature is awash with publications on the failure by Zimbabwe to come up with, and run sustainable ecotourism projects that significantly benefit the community with very little or no effort being put on telling the positive side of the ecotourism story. It is against this background that the researchers, using an exploratory design, investigated the story of the Ngamo CAMPFIRE project in Tsholots...
Abstract: Universities are isomorphic not because of the effectiveness of their processes but because of the legitimacy assigned by institutional logic. However, sustainable development discourses invoke a novel mission for producing knowledge and innovation for sustainable development. Accordingly, this research collected data from five types of internal stakeholders’ intellections of the four pillars of green university infrastructure. The analysis of data collected from 89 universit...
Abstract: Nowadays customers have become empowered by information communication technologies. This state of customers has brought enormous pressure to bear on organizations, thus, organizations have to stay relevant, market-oriented and profitable. The insurance sector is one that is constantly challenged by its exposure to ICT and the associated need for e-services by myriad customers. With increasing competition in the health insurance environment, it is necessary for the sector to underst...
Abstract: Since the integration of technology in teaching and learning, it has been observed that there is improvement in the acquisition and retention of knowledge. There is also existing body of research on adoption of e-learning platforms by students in institutions of Higher Education across the world. However, few of the existing studies has involved students in private tertiary education institutions in Botswana. Therefore, this study has set out to explore student usage of e-learning ...
Abstract: Increase in global population places a demand on fuel and protein sources therefore putting a strain on their supply. The demand for fuel products is currently met by increased usage of fossil fuel, a nonrenewable energy source. However, burning of fossil fuel has challenges such as the release of greenhouse gases associated with negative environmental impacts. To overcome these challenges, attention has been given to renewable energy sources as biodiesel, a biofuel that has...
Abstract: Abstract The purpose of this study was to reviews the effects of the technology acceptance model on internet banking adoption at Barclays bank, Tsabong (Botswana). The primary objective of the study was to investigate the factors which influence the customer‟s behavioral intention to accept internet banking. This research adopted a descriptive research design, following a survey design strategy. A positivism research philosophy was adopted, where the data collection was done foll...
Abstract: In the world, the man matters, not the machine, people need to be care, not data. There is transition from information technology to human technology. The answer is internet of everything (IoE). The int ernet of everything (IoE) is a concept that extends the internet of things (IOT) by encompassing the machine-to-machine (M2M) communication, machine-to-people (M2P) and technology-assisted people-to-people (P2P) with expended digital features. It includes different types of devices,...
Abstract: Traditional frequent itemsets mining (FIM) suffers from the vast memory cost, small processing speed and insufficient disk space requirements. FIM assumes only binary frequency value for items in the dataset and assumes equal importance value for items. In order to target all these limitations of FIM, high-utility itemsets (HUIs) mining has been presented. HUIs mining is more complicated and difficult than FIM. HUIs mining algorithms spend more execution time because of large searc...