Ontology specific visual canvas generation to facilitate sense-making-an algorithmic approach

Ontologies are domain-specific conceptualizations that are both human and machine-readable. Due to this remarkable attribute of ontologies, its applications are not limited to computing domains. Banking, medicine, agriculture, and law are a few of the non-computing domains, where ontologies are being used very effectively. When creating ontologies for non-computing domains, involvement of the non-computing domain specialists like bankers, lawyers, farmers become very vital. Hence, they are not semantic specialists, particularly designed visualization assistance is required for the ontology schema verifications and sense-making. Existing visualization methods are not fine-tuned for non-technical domain specialists and there are lots of complexities. In this research, a novel algorithm capable of generating domain specialists’ friendlier visualization canvas has been explored. This proposed algorithm and the visualization canvas has been tested for three different domains and overall success of 85% has been yielded

Comparative between optimization feature selection by using classifiers algorithms on spam email

Spam mail has become a rising phenomenon in a world that has recently witnessed high growth in the volume of emails. This indicates the need to develop an effective spam filter. At the present time, Classification algorithms for text mining are used for the classification of emails. This paper provides a description and evaluation of the effectiveness of three popular classifiers using optimization feature selections, such as Genetic algorithm, Harmony search, practical swarm optimization, and simulating annealing. The research focuses on a comparison of the effect of classifiers using K-nearest Neighbor (KNN), Naïve Bayesian (NB), and Support Vector Machine (SVM) on spam classifiers (without using feature selection) also enhances the reliability of feature selection by proposing optimization feature selection to reduce number of features that are not important

Minimalist Design Verification based on Expert Reviews

Business is the field that needs people to understand the related information in simple way in order for them to digest and get engage with the business. Minimalist is the concept to deliver information in the simplest but aesthetically pleasing way. The minimalist website is really important for entrepreneurs in order to attract people to visit their websites for purchasing goods or obtaining services. Websites’ interfaces that are hard to explore due to its complex designs could decrease the accessibility of the websites. Consequently, users will stop visiting the website and cause a loss of profit to the entrepreneurs. Hence, to address this issue, the current study aims to design entrepreneur’s website interfaces that apply the minimalist principles in order to produce a minimalist entrepreneur’s website. A number of studies have found nine minimalist principles. However, based on the reviewed literatures in the minimalist design domain, there were three (3) minimalist principles that are less employed in the minimalist design studies. Those three design principles are getting started fast (Principle 1), exploiting prior knowledge (Principle 4), and reasoning and improving (Principle 9). Thus, the current study only focuses on these three minimalist principles. This study consists of two phases. This paper emphasizes on the first phase of the current study which is to verify the minimalist design based on the expert reviews. This study adopts the quantitative method, which uses a survey to collect the related data. 10 designs that applied those three (3) minimalist principles were given to the experts. They chose the minimalist design based on the certain criteria such as the design achieving the level of users to be able to start fast in exploring the website information, the design is exploiting the current design guidelines such as Gestalt law in well applied, and the last one is each of the website design interface has their own reasoning and improvising on the locating the elements of the interface. As a result, form the expert reviews, the current study found that there are seven (7) designs which are able to be considered as a minimalist website design, namely Designs 1, 5, 6, 7, 8, 9, and 10. These seven (7) designs will be applied as interfaces in the entrepreneur’s website for further investigation in Phase 2 of this study

A comparative study for outlier detection techniques in data mining

Existing studies in data mining mostly focus on finding patterns in large datasets and further using it for organizational decision making. However, finding such exceptions and outliers has not yet received as much attention in the data mining field as some other topics have, such as association rules, classification and clustering. Thus, this paper describes the performance of control chart, linear regression, and Manhattan distance techniques for outlier detection in data mining. Experimental studies show that outlier detection technique using control chart is better than the technique modeled from linear regression because the number of outlier data detected by control chart is smaller than linear regression. Further, experimental studies shows that Manhattan distance technique outperformed compared with the other techniques when the threshold values increased

The effects of dynamic aesthetic interfaces on students' emotion and performance

In a Web-based learning system, the student-system (computer) interaction occurs via user interface. Generally, Web-based learning system interfaces are developed by designers, static, generic for all users and cannot be changed by the users. Thus, users may feel unengaged because individuals have different design preferences and aesthetic judgments. Our research intends to address this problem by developing a Web-based learning system that has the ability to produce dynamic interfaces by changing its aesthetic elements. A dynamic aesthetic interface means that the interface changes by changing its aesthetic elements such as font style, font size, font colour and others. These changes occur during the students interaction with the notes and quizzes pages in this system. An experimental study will be conducted to detect students' emotional state and performance during the changes of system interfaces. Thus, this paper aims to investigate the effects of dynamic aesthetic elements on the learning experience in Web-based learning system. The effects will be examined from two aspects: affect and performance

Analysis of Web-based Learning Interface Design based on Experts’ Verification for Higher Education

Recently, the Web-based learning (WBL) platform, particularly for higher education, has become more crucial due to the Covid-19 pandemic. Thus, due to the increased use of WBL   in higher education, an effective WBL interface design for higher education is truly important in order to attract students to use WBL and to further keep them engaged during learning via the Web-based platform. Therefore, the aim of this study was to determine the aesthetics of web interfaces based on experts’ opinions. This study adopted a quantitative research approach involving a data-gathering survey. Fifteen (15) WBL interfaces were designed based on nine (9) design principles which were balance, proportion, simplicity, alignment, movement, hierarchy, consistency, contrast, and proximity. The results of this study discovered that nine (9) WBL interfaces were determined by the experts as aesthetic interfaces, five (5) WBL interfaces as non-aesthetic and 1 (one) WBL interface was considered neither aesthetic nor non-aesthetic. This finding revealed that six (6) out of nine (9) interfaces had the balance design principle. However, balance was also in most non-aesthetic interfaces. A possible reason that balance was the most design principle in both the aesthetic and the non-aesthetic interfaces is that when designing WBL interfaces, there is a need to consider the combination of the design principles as a whole, and not count the design principles individually. In conclusion, this study's findings could contribute to the knowledge in the Human Computer Interaction domain, specifically in the interface design area