TY - GEN
T1 - Storage structures for efficient query processing in a stock recommendation system
AU - Ha, You Min
AU - Kim, Sang Wook
AU - Park, Sanghyun
AU - Lim, Seung Hwan
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=57949101752&partnerID=8YFLogxK
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U2 - 10.1109/ICADIWT.2008.4664358
DO - 10.1109/ICADIWT.2008.4664358
M3 - Conference contribution
AN - SCOPUS:57949101752
SN - 9781424426249
T3 - 1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
SP - 275
EP - 280
BT - 1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
T2 - 1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
Y2 - 4 August 2008 through 6 August 2008
ER -