Abstract—Data mining is applied in many areas, including the telecommu dịch - Abstract—Data mining is applied in many areas, including the telecommu Anh làm thế nào để nói

Abstract—Data mining is applied in

Abstract—Data mining is applied in many areas, including the telecommunication area. Telecommunication area stores a large amount of data, including the information about the user's movement. Many studies in recent years have shown that the user's movement in past hides knowledge about their movement behavior. The exploitation of spatial and temporal simultaneously will give performance better than the exploitation of one of them. This paper will analyze and evaluate the performance of sequential pattern mining in two cases: only based on spatial and based on spatial-temporal.

Index Terms—data mining, mobility prediction, sequential pattern mining technique.
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Abstract — Data mining is applied in many areas, including the telecommunication area. Telecommunication area stores a large amount of data, including the information about the user's movement. Many studies in recent years have shown that the user's movement in past hides knowledge about their movement behavior. The exploitation of spatial and temporal simultaneously will give performance better than the exploitation of one of them. This paper will analyze and evaluate the performance of sequential pattern mining in two cases: only based on spatial and based on spatial-temporal.Index Terms — data mining, mobility prediction, sequential pattern mining technique.
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Kết quả (Anh) 2:[Sao chép]
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Abstract-Data mining is áp in many Areas, Including the telecommunication area. Telecommunication area stores a large amount of data, the information about the user gồm's movement. Many studies in recent years have là user's movement Shown Past behavior hides knowledge about có movement. Exploitation of spatial and temporal The simultaneously will give performance better than the Exploitation of one of Them. This paper analyze and evaluate the performance sẽ of sequential pattern mining in two cases: only based on spatial and spatial-temporal based on. Index Terms-data mining, mobility prediction, sequential pattern mining technique.


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