New Algorithm for Cyclic Mining in Temporal Databases
Eya Ben Ahmed, Ahlem Nabli, Faiez Gargouri
Progress in Computing Applications, Vol. 1, No. 1, 2012.
DOI: 
Link: http://www.dline.info/pca/fulltext/v1n1/1.pdf
Abstract:
The mining of temporal databases using cyclic approach is gaining momemtum at present. In the last few years many works addressed the system of generating rules for producting better rules which have varying effectiveness. Through this work, we introduced a newer method of cyclic association rules which used many features and perceptions. Tis paper Besides, this paper has generated a new kind of algorithm and which we tested in the real life system.