Wei-Rong Zeng

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Recently, the class imbalance problem has attracted much attention from researchers in the field of data mining. When learning from imbalanced data in which most examples are labeled as one class and only few belong to another class, traditional data mining approaches do not have a good ability to predict the crucial minority instances. Unfortunately, many(More)
Mobility is the key in a globalized world where people, goods, data and even ideas move in increasing speeds over increasing distances. For representing a particular moving object in a database, examining the position of the moving object would be in focus. To analyze the particular, we create a framework so that it can represent the relevant moving object(More)
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