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The area of data mining involves looking into (usually very large) data structures to discern patterns...

The area of data mining involves looking into (usually very large) data structures to discern patterns or relationships that might not be obvious, or that couldn't be seen through traditional querying of the data. The Laudons describe it as “discovery-driven.” Text mining is a special case of data mining where the analysis looks into text data that might have otherwise been treated as single blobs of undifferentiated data.

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Think about a scenario where an organization is using data and text mining techniques against a large multidimensional data warehouse. What is an example of something that they might learn that would be much less likely to be learned without these technologies

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Think about facebook website in which trillion of data is flowing within minutes , this data can be useful in many aspect like it can be used for election , or to find any criminal activity so , if we do not used data or text mining tools it will take more time to analyze text with some conventional way or use older technique .

These techniques become useful when we use real life application , where response time matters a lot....   

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