In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Abstract. The validation of models for skills assessment is often conducted by using simulated students because their skills mastery can be predefined. Student performance data is ...
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Real production applications ranging from enterprise applications to large e-commerce sites share a crucial but seldom-noted characteristic: The relative frequencies of transactio...