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Data Summarization Suppose we use a trust rating with an integer in [ 1 , 1 0 ] to represent the reputation of an eBay

Data Summarization
Suppose we use a trust rating with an integer in [1,10] to represent the reputation of an eBay seller on a day. With such data, we can draw a spot in a two dimensional space, where the x-axis is the date and the y-axis presents trust value. We also suppose there is a large dataset of trust ratings for each seller for a period of 5 years.
If a popular seller receives a large number of trust ratings each day, introduce a data summarization approach which aggregates these ratings so as to reduce the size of the trust rating dataset while the sellers trust degree and reputation in a certain period (say 5 years) can be well represented.

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