Document Type
Article
Article Version
Publisher's PDF
Publication Date
11-2007
Abstract
Historic stock price data is generally available on the web (using a browser to format the HTML data). Given an HTML data source, we would like to find a way to create an underlying data structure that is type-safe and well formulated.
Publication Title
Journal of Object Technology
Repository Citation
Lyon, Douglas A., "Data Mining Historic Stock Quotes in Java" (2007). Engineering Faculty Publications. 62.
https://digitalcommons.fairfield.edu/engineering-facultypubs/62
Published Citation
Douglas Lyon, “Data Mining Historic Stock Quotes in Java”, Journal of Object Technology, Volume 6, no. 10 (November 2007), pp. 17-23
DOI
10.5381/jot.2007.6.10.c2
Peer Reviewed
Comments
Copyright 2007 Journal of Object Technology
Archived with permission from the copyright holder.