An Agent Based Analysis of Knowledge Discovery in Databases

Provided by: International Journal of Engineering Sciences & Research Technology (IJESRT)
Topic: Data Management
Format: PDF
Discovering useful knowledge from database is referred as KDD. In the quest of knowledge possible interpretation of patterns and evaluation makes the decision of what is knowledge and what is not. It also includes the choice of programming schemes, systematic series of actions, sampling, and the state or fact of the data prior to the data mining step. Data mining refers to the application of algorithms for extracting patterns from data without the additional steps of the KDD process. The Knowledge Discovery in Databases (KDD) model is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process.

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