Predicting Online Auction Final Prices Using Time Series Splitting and Clustering

Online auctions allows users to sell and buy a variety of goods, and they are now one of the most important web services. Predicting final prices on online auctions is a hard task. However, there has been much pioneering work over the past ten years. In this paper, we propose a novel method for predicting final prices using a time series splitting and clustering method to provide higher accuracy. An evaluation of the effectiveness of our method is also described in the paper.

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