Comparison of usefulness or applicability of cuckoo search algorithm and genetic algorithm from database

Our purpose in this research is to investigate the appropriate data mining method for extracting rules from a data set and to examine the benefits of using the cuckoo algorithm to extract relational rules as well as to examine its usefulness or application. We have presented an algorithm as a proposed algorithm in this research, we can use these values to further explore associative rules.A new cuckoo search-based algorithm hides utility-sensitive relational rules, while handling the side effects of insensitive rules in a better way. We use the cuckoo algorithm and this aim is achieved using recurring to the objective function. The GA is set to be the evaluation criterion to show the prominence of the proposed method. It is scientifically proven that the cuckoo algorithm outperforms the GA in Comparing the applicability.

کلیدواژه ها:

Association rules mining ، genetic algorithm (GA) ، cuckoo algorithm ، sensitive relationship ، non-sensitive relationship ، data mining ، dataset ، performance improvement ، comparing the applicability