Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
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Development of a Decision Support System (DSS) based on data mining is expensive. It consists of three main phases: produce quality input data, develop quality knowledge models and developed an application based on the model, which needs experts in the domain, data mining and software development respectively. Current commercial data mining tools, such as Insightful miner, aims for the development of quality knowledge models which are conducted by data mining expert. The knowledge model is not meaningful to the end user without the development of a DSS application based on the knowledge model. Mynda is a web-based data mining tool for domain expert users to generate knowledge models from client's data (model generator) and also generate a data mining application from the knowledge model (application generator). The user only provides input data sets (for example in Excel format) and set the mining technique profile. Mynda will automatically develop the knowledge model and generate an executable data mining application based on the profile. The data mining application can be run independently as a stand alone application. Mynda has reduced the complexity of the development of data mining based DSS applications.