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Quality of Services (QoS) is an important criterion to evaluate Web services recommendation system. Due to factors including various network conditions, QoS values are dynamic and time-varying. In reality, the data is too spare to fit in with traditional time series forecasting model (e.g., ARIMA). To address this crucial challenge, this paper proposes a novel time-aware and sparsity-tolerant QoS...
According to the manifold feature of sonar image data, a novel quantum genetic algorithm for detection sonar image is proposed in this paper. K-means block clustering algorithm is used to reduce the space of sonar image data. On this basis, in order to reflect the global consistency of the data, manifold distance is developed as the new similarity measurement of fitness function in quantum genetic...
QoS prediction for Web services is a hot research problem in the field of services computing. As one of the most important methods for QoS prediction, Collaborative Filtering (CF) makes prediction based on the historical QoS data contributed by similar users and services. The key issue in this process is to detect the unreliable data offered by untrustworthy users, which has attracted limited attentions...
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