Identification of important news for exchange rate modeling

Publication Type:
Conference Proceeding
Artificial Intelligence In Theory And Practice, 2006, pp. 475 - 482
Issue Date:
Full metadata record
Files in This Item:
Filename Description SizeFormat
2006004196.pdf1.1 MBAdobe PDF
Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify the patterns for exchange rat
Please use this identifier to cite or link to this item: