Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
This paper describes a research effort to improve the use of the cosine similarity information retrieval technique to detect unknown, known or variances of known rogue software by...
Reliable network demographics are quickly becoming a much sought-after digital commodity. However, as the need for more refined Internet demographics has grown, so too has the ten...
Moheeb Abu Rajab, Fabian Monrose, Andreas Terzis, ...
The motivation and objective for this paper is to demonstrate “Personal High Performance Computing (PHPC)”, which requires only a smaller number of computers, resources and sp...