Similarity-based queries for time series data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Querying Time Series Data Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A Similarity Search Method of Time Series Data with Combination of Fourier and Wavelet Transforms
TIME '02 Proceedings of the Ninth International Symposium on Temporal Representation and Reasoning (TIME'02)
Landmarks: A New Model for Similarity-Based Pattern Querying in Time Series Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Efficient bid pricing based on costing methods for internet bid systems
WISE'06 Proceedings of the 7th international conference on Web Information Systems
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When a customer wants to buy an item in an Internet shopping mall, one of his/her difficulties would be to decide when to buy the item, because its price changes over time. If the shopping mall can recommend appropriate buying points, this would greatly help the customer. Therefore, in this paper, a method of recommending buying points based on time series analysis is proposed using a database of past item prices. The procedure for providing buying points for an item is as follows. First, the past time series patterns are searched for from the database using normalized similarities, which are similar to the current time series pattern of the item. Second, the retrieved past patterns are analyzed and the item's future price pattern is predicted. Third, using the future price pattern, a recommendation on when to buy the item is made.