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Change data capture (CDC) is an approach to data integration that is used to determine and track the data that has changed so that action can be taken using the change data. However, the state of art of change data capture (CDC) in the context of document-oriented NoSQL databases is not mature. Therefore, it is urgent to require a NoSQL CDC solution. Although some manufacturers of NoSQL databases...
Fault localization is a challenging task in domain specific data mining. Most existing works focus on call graph that can find bugs which are associated with control flow. However, there are a lot of bugs related to data flow. In this paper, we presented a data dependency graph in fault localization. The approach at first analyzes the execution of the test suites dynamically, then derives the data...
Mining frequent closed itemsets provides complete and condensed information for frequent pattern mining. Online mining of frequent closed itemsets over streaming data is one of the most important issues in mining data streams. In this paper, we first present a general methodology to identify closed itemsets over data streams, using concept lattice theory. Using this methodology, we then proposed a...
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