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Articles 31 - 35 of 35
Full-Text Articles in Other Computer Engineering
Cyber Security Risks In Public High Schools, Ion Goran
Cyber Security Risks In Public High Schools, Ion Goran
Student Theses
Today, just like other organizations, schools are vulnerable to cyber-attacks. This vulnerability has vividly revealed itself in recent years, with the number of attacks on public schools increasing and taking ever-changing forms. Today, the student’s grades, disciplinary notes, learning diagnoses, phone numbers, addresses, and another identifying information is all at risk of being exposed. Moreover, poor network security poses a dire threat to parents of school children whose personal records contain sensitive or dangerous information. The practical implications of these attacks require intervention or remedy to increase cyber security. Cyberattacks may take place when storage facilities or infected devices are …
Brief Study Of Classification Algorithms In Machine Learning, Ramesh Sankara Subbu
Brief Study Of Classification Algorithms In Machine Learning, Ramesh Sankara Subbu
Dissertations and Theses
The purpose of this study is to briefly learn the theory and implementation of three most commonly used Machine Learning algorithms: k-Nearest Neighbors (kNN), Decision Trees and Naïve Bayes. All these algorithms fall under the Classification algorithm category of Unsupervised Machine Learning. This paper is constructed structurally in explaining the working theory behind each algorithm and an implementation of a Machine Learning problem solved by each algorithm. KNN algorithm is designed using Euclidean distance measurement and Decision Trees make use of ID3 algorithm as a basis. We conclude the study by providing an overall picture of its strengths and weaknesses …
Scale Up Bayesian Network Learning, Xiannian Fan
Scale Up Bayesian Network Learning, Xiannian Fan
Dissertations, Theses, and Capstone Projects
Bayesian networks are widely used graphical models which represent uncertain relations between the random variables in a domain compactly and intuitively. The first step of applying Bayesian networks to real-word problems is typically building the network structure. Optimal structure learning via score-and-search has become an active research topic in recent years. In this context, a scoring function is used to measure the goodness of fit of a structure to given data, and the goal is to find the structure which optimizes the scoring function. The problem has been viewed as a shortest path problem, and has been shown to be …
Mobile Apps In Collection Development: Supporting A Mobile Learning Environment, Stefanie Havelka, Rebecca Arzola
Mobile Apps In Collection Development: Supporting A Mobile Learning Environment, Stefanie Havelka, Rebecca Arzola
Publications and Research
We will discuss our rationale and thoughts on why we believe mobile apps should be part of a library’s collection development policy. An updated policy with apps encourages a mobile learning environment that is technologically diverse while being holistically supportive of its users and research.
Mobile First Web And Content Strategy, Stefanie Havelka, David Stevens
Mobile First Web And Content Strategy, Stefanie Havelka, David Stevens
Publications and Research
The paradigm shift from the traditional desktop to the mobile web experience is fast approaching, and providing relevant date, location and time-sensitive content to users via mobile devices becomes an essential piece of the overall web strategy. This presentation demonstrates the concepts, techniques and technologies used to develop both the overall mobile content strategy and user experience, as well as the aggregation and delivery of content to both the desktop and mobile form factors from a single content source.