The Data mining projects are complex and can have a high failure rate. In order to improve project management and success rates of such projects a life cycle is very important to the overall success of the project. This paper is concerned with the life cycle development for data mining projects. The paper provides a detailed view of the design and development of the data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic researchers and may improve project success rates and strategic decision support. An extensive analysis of life cycle leads to a list of advantages, disadvantages, and characteristics of the life cycle. This is extended and generates a corporation of several guidelines which serve as the foundation for the development of a new generic data mining life cycle.
Data mining, LCD in PM
