An Improved Data Mining Algorithm Based on Concept Lattice

摘要

In order to solve the multidimensional data model and relational data model, query between the two-way data system query, data cleansing, data conversion, centralized, distributed data accuracy and consistency control problem, this paper described the concept of grid-related, the global data mining combined with local data mining, is proposed based on local information based on the concept of a global grid of data mining algorithm, and the mining process was divided into ETL action, combined with the ETL process workflow, vast amounts of data distributed parallel sequence mining. Experiments show that the algorithm has a good effect on enhanced data processing capability.