Recommendation Systems are powerful tools generating relevant suggestions for customers, as support in the decision-making process. The most sensitive step in the recommendation process is the choice of the similarity measure. The goal of this article is to present a detailed analysis of similarity measures applied to memory-based collaborative filtering techniques. Several experiments have…
Recommendation Systems are tools that interpret the users’ preferences in an attempt to generate fitting suggestions. Studies in this domain of research tend to conclude that the numerical user ratings are not powerful enough to truly express the users’ preferences. The best way to overcome this is by extending the analysis to other elements…
The Twitter platform is one of the most popular social media environments that gathers concise messages regarding the topics of the moment expressed by its users. Processing sentiments from tweets is a challenging task due to the natural language complexity, misspelling and short forms of words. The goal of this article is to present…
Most users often find themselves in a situation when they need to answer the same question: which product, movie, vacation offer, restaurant or book is the best to choose? In order to answer this question, Recommendation Systems have been developed to generate the best suggestions according to the user’s interest. Recommendation Systems play an…
The most common cancer type amongst women is the breast cancer with a large number of cases reported each year, many of them diagnosed in an advanced phase. In this paper our scope is to create a base for a support system that helps detecting breast cancer in an early stage. After defining the…
The stability and robustness of a complex network can be significantly improved by determining important nodes and by analyzing their tendency to group into clusters. Several centrality measures for evaluating the importance of a node in a complex network exist in the literature, each one focusing on a different perspective. Community detection algorithms can…
Abstract Due to the increasing number of new malware appearing daily, it is impossible to manually inspect each sample. By applying data mining techniques to analyze the program code, we can help manual pro- cessing. In this paper we propose a method to extract signatures from the executable binary of a malware, in order…
Complex Networks theory represents a powerful tool to model real-world systems as graphs with non-trivial topological features. Static by their definition, complex networks are limited to be the reflection or the snapshot of the dynamical systems they encode in a given moment. Frankly, studies show that the network preserves the characteristics of the dynamic…
Mobile projects often exhibit architectural issues. In this paper, we survey three different types of persons (instructors, students, and developers) to find out how often do those who write code struggle with architectural issues and how are those issues impacting their work. Our focus was on mobile projects, but to have a comprehensive overview,…
Mobile applications have become one of the most important means of interacting with businesses, getting information, or accessing entertainment and news for the vast majority of the people, especially for the young generations. How those applications are being built, heavily influences their lifecycle, costs, and product roadmap, that is why software architecture plays a…