A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
An Approach to Frequent Pattern Discovery from Gene Expression Data Using PSO Variants
Pattern mining has always attracted a huge attention for generation of large amount of patterns and association between them. Though it's one of the major data mining tasks but it has always been a time consuming process as a large scale of patterns and associations rules gets generated. To reduce the time of consumption it was preferable to discretize the data matrix in the range of 0 to 1 and for this the fuzzy the membership function has been used which is quite simple in its concept anddoi:10.1016/j.proeng.2012.06.207 fatcat:fswnr5ko6ree7lcjgumjuohgge