Application Exploration: Traditional data mining applications paid close attention to helping companies perform well compared to others of comparable nature. Data mining is increasingly being explored in areas such as financial analytics, telecommunications, biomedicine, science and also for counter-terrorism and mobile (wireless) data mining. Scalable and interactive data mining methods: Data mining must be able to handle large amounts of data efficiently and interactively independently of existing data analysis methods. Constraint-based data mining helps you 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 to serve as an essential data analytics component that can easily integrate with information processing environment such as database systems, data warehouse systems and web database systems. Standardization of data mining language: Standardization will trigger the systematic development of data mining solutions; improve interoperability ...