Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 17, Pages: 1-8
Truong Duc Phuong1 *, Do Van Thanh2 and Nguyen Duc Dung3
1Hanoi Metropolitan University, Vietnam; [email protected] 2Faculty of Information Technology, Nguyen Tat Thanh University, Vietnam; [email protected] 3nstitute of Information Technology, Vietnamese Academy of Science and Technology, Vietnam; [email protected]
*Author of Corresponding: Truong Duc Phuong Hanoi Metropolitan University, Vietnam; [email protected]
Background/Objectives: The objective of this paper is to find the relationships among the time of events in temporal quantitative databases. Methods/Statistical analysis: The fuzzy sets are applied to both quantitative attributes of database and time distance among events. Then, Apriori algorithm with improvement is used to find out all frequent sequences. Final, the rules are pulled out from the sequences. Findings: The finding rules from the proposed algorithm help to predict quantity and occur time of items from other previous items. A rule can be a form “If large number of computers is sold, small number of modems will be bought in a medium period”. In this paper, experiments are made to show performance of the proposed algorithm. Applications/Improvements: The findings are useful to forecast in market basket analysis, stock market analysis.
Keywords: Association Rule, Data Mining, Fuzzy Sets, Fuzzy Time-interval, Temporal Quantitative Database
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