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Focusing on the possibility for observed results with false or erroneous information of sensors which may affect data fusion estimation, a new algorithm is proposed based on self-support degree and hypothesis testing. It is significant to take the consistent test method to identify and remove the observations of failed sensors by checking on the observed results and then the data fusion algorithm...
Schema Matching (SM) and Record Matching (RM) are two necessary steps in integrating multiple relational tables of different schemas, where SM unifies the schemas and RM detects records referring to the same real-world entity. The two processes have been thoroughly studied separately, but few attention has been paid to the interaction of SM and RM. In this work, we find that, even alternating them...
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