The paper describes a model-based approach to developing a general tool for localizing faults in applications of data warehouse technology. A model of the application is configured...
We introduce LogGOPSim--a fast simulation framework for parallel algorithms at large-scale. LogGOPSim utilizes a slightly extended version of the well-known LogGPS model in combin...
Until recently, there has been a lack of methods to trade-off energy use for quality of service at run-time in stand-alone embedded systems. Such systems are motivated by the need ...
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...