Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Low-latency remote-write networks, such as DEC’s Memory Channel, provide the possibility of transparent, inexpensive, large-scale shared-memory parallel computing on clusters of...
Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas...
Sensor network which operates on battery are used to gather data in a variety of environments. The data collected by each node is communicated through the network to the sink, whi...
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...