Download now Free registration required
In this paper, the authors show the usefulness and feasibility of applying conventional SQL queries for analyzing a wide spectrum of data streams. As application area, they have chosen the analysis of stock market data, mainly because this kind of application exhibits sufficiently many of those characteristics for which relational query technology can be considered a valuable instrument in a stream context. The resulting TInTo system is a tool for computing so-called technical indicators, numerical values calculated from a certain kind of stock market data, characterizing the development of stock prices over a given time period.
- Format: PDF
- Size: 446.3 KB