Association rule mining is used the most popular fiction in the field of research of data mining. This paper presents a survey of some most common techniques, which are frequently used for mining association rules from a data set. Association mining is a cardinal and advantageous researched data mining proficiency. However, depending on the alternative of the arguments (the minimum support and minimum confidence), current algorithms can become very slow and generate an exceeding huge amount of results or generate none or too few results, eliding useful information. This is a severe drawback because in practice users have circumscribed resources for taking apart the results and thus are often only interested in finding a sure amount of results, and excellence synchronization the arguments is time-consuming.