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Feature selection is an effective technique to reduce the dimensionality of a data set and to select relevant features for the domain problem. Recently, stability of feature selection methods has gained increasing attention. In fact, it has become a crucial factor in determining the goodness of a feature selection algorithm besides the learning performance. In this work, we conduct an extensive experimental...
QoS (quality of service) prediction of web services plays an important role in selecting services when a consumer wants to try the services which he never used. Considering different consumers have different characteristics and different QoS experiences, we proposed a personalized QoS predict approach based on collaborative filtering to improve the effectiveness of predicting in this paper. The basic...
130 wet deposition events were observed at the summit of Mt. Tai (East China, 1534 a.s.l) in China during Jan. 2005 to Dec. 2008. Zn, Al, Mn, Fe, Pb, Cu, Ni, Cr, As, and Cd were determined by ICP-MS to evaluate the characteristics of heavy metals in wet deposition at Mt. Tai region. The concentrations of these metals are generally higher at Mt. Tai than the concentrations observed at other monitoring...
Researchers have done many studies on the low performance of information system development (ISD), requirement uncertainty, user interaction, personal conflict as well as IS performance has become focus. Previous literature has mentioned the importance of the above four, but empirical studies are handful. This paper attempts to summarize the relationships among them through empirical research, providing...
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown that for many tasks like webpage classification, image classification, and pattern recognition, combining data from multiple information sources yields significantly better results than using a single source. In these tasks...
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