抽象的

Innovative Business Using Applicable Data Mining

Appalabattula Naga Venkata Veera Bhadram, M. Srinivasa Chakravarthy , Dr. Yalla Venkateswarlu

To convert the problem definition, model design to applicable pattern discovery, a problem solving process is designed, which is known as Applicable Data Mining. This is designed to deliver accurate business rules which can have close integration with technical and business processes. The auxiliary model “Multisource Combined Mining based ADM” is illustrated. This generic ADM model is designed to support ADM process. This paper demonstrates a view of ADM from the stand point of technical and decision making. A case study of MSCM-ADM is demonstrated and further experiments show that this model design is flexible, practical and general to handle complex business issues and projects by deriving applicable deliverables to propose accurate decision making methods.