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Spatial data mining techniques are used to mine data values with location information. Temporal analysis is applied to perform time analysis. Location and time based analysis is applied on a variety of mobile service analysis application. Different services are provided under the mobile environment. User behavior analysis is carried out using the sequential pattern mining methods. Location and time factors are used in the sequential pattern mining methods. Clustering techniques are used to group up the transactions based on the transaction relevancy. Most of existing techniques focus on discovering mobile patterns from the whole logs. However, this kind of patterns may not be precise enough for predictions since the differentiated mobile behaviors among users and temporal periods are not considered.
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