Application Mining: Traditional data mining applications have paid great attention to helping businesses earn better than others of comparable nature. Data mining is increasingly being explored in areas such as financial analysis, telecommunications, biomedicine, science, as well as for counterterrorism and mobile (wireless) data mining. Scalable and Interactive Data Mining Methods: Data mining must be able to handle a large amount of data. in an efficient and interactive manner outside of existing data analysis methods. Constraint-based data mining helps the user guide data mining systems in finding interesting patterns. Integration of data mining with database systems, data warehouses and web database systems: Data mining must ensure that it is an essential data analysis component that can easily integrate with information processing environment such as database systems, data warehouse systems and web database systems. Data mining language standardization: Standardization will enable the systematic development of data mining solutions; improve interoperability ...