Storage structures for efficient query processing in a stock recommendation system

You Min Ha, Sang Wook Kim, Sanghyun Park, Seung Hwan Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Rule discovery is an operation that uncovers useful rules from a given database. By using the rule discovery process in a stock database, we can recommend buying and selling points to stock investors. In this paper, we discuss storage structures for efficient processing of queries in system that recommends stock investment types. First, we propose five storage structures for efficient recommending of stock investments. Next, we discuss their characteristics, advantages, and disadvantages. Then, we verify their performances by extensive experiments with real-life stock data. The results show that the histogram-based structure performs best in query processing and improves the performance of other ones in orders of magnitude.

Original languageEnglish
Title of host publication1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
Pages275-280
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 30
Event1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008 - Ostrava, Czech Republic
Duration: 2008 Aug 42008 Aug 6

Publication series

Name1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008

Other

Other1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
CountryCzech Republic
CityOstrava
Period08/8/408/8/6

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Software

Cite this

Ha, Y. M., Kim, S. W., Park, S., & Lim, S. H. (2008). Storage structures for efficient query processing in a stock recommendation system. In 1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008 (pp. 275-280). [4664358] (1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008). https://doi.org/10.1109/ICADIWT.2008.4664358