Query Optimization for Intelligent Data Mining to Obtain Abstract User Views

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Several web applications provide interface for dynamic query formation for better user experience and efficient data mining. However, several applications fail to measure the need of user session constraints. The authors propose a self-learning dynamic query builder which can measure session constraints to enhance the efficiency of dynamic query formation. The system is capable to initially target an abstract user dataset and in further stages, abstract the user session constraints to throw user-centric data abstraction.
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