conversation industry has made the sector a international village, and amongst all additives of the industry, telecommunication is the maximum famous and maximum extensively used [1] . It has created employment opportunities and empowered humans economically and has eliminated distance, thereby saving lives and cost. Telecommunication has created possibilities for both the carrier companies and subscribers to do their separate but associated companies and earn their livings. however these kind of benefits do not come with out some critical consequences of fraud within the enterprise. Our Optimal Classifier interest in this paper is to locate fraud within the industry using the frequency and the length of their calls. Fraud detection in telecommunication industry is essential to the survival of the enterprise. it’s far a not unusual knowledge that fraudsters have flooded the telecommunication industries in diverse approaches starting from unlawful get right of entry to to bandwidth, attack on cyber securities, get entry to to pocket of statistics, and unlawful calls. all these constitute a large loss to the telecommunication industries. those illegalities may additionally pressure a number of the carrier carriers out of the enterprise if not properly checked. The multiplier results of these fraudulent activities are large loss of jobs, decline inside the trendy of living and its attendant effects on those without delay involved and others not immediately involved. The most hard factor of these fraudsters is that they may be clever and might hack into the records base of these provider providers who should now not take a seat back and watch them smash their groups. due to the fact that fraud isn’t always Optimal Classifier localized, and does now not have a permanent “workplace”, it is able to be dedicated at everywhere and at any time. Telecommunication operators keep massive quantities of records associated with the activities of their subscribers. In those statistics, there exist each normal and fraudulent data. it’s far anticipated for the fraudulent hobby information to be substantially smaller than the everyday hobby. If it were the alternative manner round this form of enterprise could be impractical because of the quantity of revenue lost [1] .
This quarter broadly has two forms of customers―home and industrial. There are instances where the connections are offered beneath domestic categories however the use is on a commercial scale. This reasons sizeable loss to the sector [2] . there is a need to adopt a information mining technique as a way to filter these fraudsters. information volume has been growing at a exquisite tempo because of advancements in Optimal Classifier records technology. at the identical time there was significant improvement in statistics mining. facts mining may be defined because the procedure of extracting precious facts from records [3] . The telecommunication quarter acquires big amount of data because of rapidly renewable technology, the boom in the range of subscribers and with value brought offerings. uncontrolled and very speedy expansion of this field motive increasing losses depending on fraud and technical problems [4] .