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The last decade, the computers world became a huge wave of data. Data mining tasks were invoked to tackle this problem in order to extract the interesting knowledge. The recent emergence of some data mining techniques provide also many interesting induction rules. So, it is judicious now to process these induction rules in order to extract some new strong patterns called meta-rules. This work explores...
The current world wide web is featured by big volumes of data. The classical association rules mining algorithms dealt with data sets somehow in an efficient way and in reasonable time. However they are not capable to cope with a huge amount of data in the web context where the respond time must be very short. In this paper a new hybrid algorithm called (HBSO-TS) is proposed for association rule mining...
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