Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
Several domains such as sports, surgery, dance etc. are characterized by a significant influence of expertise of the performer on the motion pattern and style. The retrieval of ex...
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Glycan biosynthesis is the process by which glycans are built in the cells. Information about the process is available from several Web accessible databases, published papers, exp...
Shravya Nimmagadda, Amrita Basu, Matthew Eavenson,...