Data mining techniques discover the new, valid and frequent pattern from the large data set. The problems in data mining range from association rule mining, classification, feature extraction, etc. Today, in the Internet age, the data generated can be measured in terabytes or petabytes. This large amount of data contains a huge amount of hidden information that can be useful to many businesses. In this regard, there is a need for efficient and cost-effective data mining approaches and techniques that can handle such data at scale. Cloud computing provides the right environments for big data mining tasks. Cloud data mining has applications in various fields of biology, banking, pharmaceuticals, chemoinformatics, marketing and many more. Cloud computing is the practice of providing access to the shared pool of configurable computing resources that can be dynamically provisioned. It refers to both applications provided as a service as well as the system hardware and software in the data centers that provide these services. The attractive features of cloud computing, such as on-demand access, high scalability, reliability, cost savings, low maintenance and energy efficiency, bring benefits to both consumers and service providers cloud.2. RELATED WORKThe different cost models for data mining techniques are as follows. The cost model for distributed data mining in [1] gives the a priori estimates of response time for the given task considering a specific architectural model. The distributed data mining response time T is given by T = tddm + tki Where tddm is the time required to perform data mining in a distributed environment and tki is the time required to perform knowledge integration . The factors that determine tdd...... middle of paper...... which indicate the size of the current market. The pricing model for frequent users who have long-term needs can be given as follows: PriceSaaSB = PriceSaaS – Rtot *( k1 * time + k2 *no)/RocWhere PriceSaaS is the price for short-term users, Rtot is the total amount of resources, the duration during which the user will occupy certain resources, k1 and k2 are the time factor and the quantity factor respectively. The authors introduced the cost model for cloud storage[] which considers system design access cost, usage cost, variable cost, discount cost and compensation cost. Therefore, the total cost of a user over a given period of time is given by Cij = Cija + Ciju + Cijf - Cijp -CijbWhere Cij is the total cost, Cija is the access cost, Ciju is the cost of usage, Cijf is the variable cost, Cijp is the updating cost and Cijb is the compensation cost and i and j are the user level and service model respectively.