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With the explosion growth of available information in texts, reading is a very time consuming task. Having an automated knowledge miner that can extract useful knowledge from the texts is very desirable. In this paper, the authors propose an integrated architecture for an intelligent knowledge mining processor. The architecture is based on text mining and data mining approaches, and a multi-agent system. In the text mining approach, they focus on extracting entity and concepts from the texts by using information extraction and natural language processing techniques.
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