Unsupervised data clustering is not a trivial process, as no previous knowledge is available and real data is often complex and multi-faceted. To make matters worse, traditionally, clustering aims to describe the data ...

Inability to identify partitions of different sizes and shapes is a fundamental limitation of any clustering algorithm, especially when different regions of the search space contain clusters with varied characteristics. ...

High Availability is the most important aspect when discussing resiliency over telecommunications systems in the context of the adoption of the cloud computing paradigm, a big challenge for telecommunications service ...

The use of technology to improve the process of teaching and learning is a well-known practice, young people have shown increasing interest in the use of computers and mobile devices as support classes. To encourage this ...

The popularity of social networks have attracted attention of companies. The growing amount of connected users and messages posted per day make these environments fruitful to detect needs, tendencies, opinions, and other ...

Compiler error messages should allow programmers to understand and solve quickly problems found during the compilation process. However, compilers usually issue short contextless messages with little information and with ...

Agile development principles ensure that continuous attention to technical excellence combined with a good design contributes to increased agility ensuring products with higher quality. Usability is one of the quality ...

The goal of this study is to investigate the characteristics of the new data clustering approaches, carrying out a comparative study of clustering techniques that combine or select multiple solutions, analyzing these latest ...

The APIs are becoming increasingly more popular and they play a important role in software development. However, many APIs are large and complex that makes them hard to learn. Among avaliable resources to learn to use an ...

Precision Agriculture involves the use of technology for management and decision making to allow rural producers to get better production results. To gain the desired effect, it is necessary a huge data collection and ...