Title :
Temporal Association Rules in Mining Method
Author :
Ning, Hui ; Yuan, Haifeng ; Chen, Shugang
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Eng. Univ.
Abstract :
This paper first overviews the concept of temporal association rules mining associated methods. It proposes an innovative approach of data mining for temporal association rules mining. According to the ordinary related rules, our method considers the time-constrains. Finally, the paper provides the performance estimation of this algorithm
Keywords :
computational complexity; data mining; temporal databases; data mining method; temporal association rule; time complexity; Algorithm design and analysis; Association rules; Computer science; Couplings; Data mining; Data processing; Database languages; Economic forecasting; Itemsets; Weather forecasting; Apriori algorithm; Frequent itemset; rules; temporal association; temporal pattern;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.274
