A Survey of Maximal Frequent Item set mining Algorithm

Dramatic advances in data capture, processing power, data transmission, and storage capabilities are enabling organizations to integrate their various databases into data warehouses. Data warehousing is defined as a process of centralized data management and retrieval. Data warehousing, like data mining, is a relatively new term although the concept itself has been around for years. Data warehousing represents an ideal vision of maintaining a central repository of all organizational data. Centralization of data is needed to maximize user access and analysis. Dramatic technological advances are making this vision a reality for many companies and equally dramatic advances in data analysis software are allowing users to access this data freely. The data analysis software is what supports data mining. In this paper, we are presenting a survey of maximal frequent item set mining techniques.