Abstract: The design and implementation of MSMiner, a general multistrategy data mining tool, is proposed in this paper. MSMiner is founded on the basis of data warehouse, and integrated with several kinds of data mining algorithms, such as decision tree, association rule, statistical method, clustering, neural network and visualization. Also put forward is an object oriented model to express and process metadata about data sources, algorithms and parameters, steps, tasks and users’ information in data mining. The traits of MSMiner are the support of multiple data sources, i.e. data in database/warehouse, text and Web pages, the flexibility of the organization of data and mining strategies, and the powerful expandability of data mining algorithms and tasks.