Abstract
Radio Frequency Identification (RFID) technology has been used for many purposes and has had effective results. This technology eases and accelerates many applications, but it has proposed a challenge, and that is the production of such a volume of data. The volume is so enormous that disusing the system comes into consideration. However different methods have been applied for solving this problem. In this paper, we propose a new method for data compression without missing any data. By applying it to our system, a production line of car engines, we can get our data to 1/50 times the basic data. We can also return to the basic data. We apply data mining to estimate the accuracy of our method and we consider our method error rate is 16 percent that is acceptable
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