The document discusses data mining and the data mining process. It describes data mining as examining databases to find patterns in data that users may not have considered. The data mining process involves 3 steps: 1) data preparation which includes cleaning and formatting data from a data warehouse, 2) running data mining algorithms like association rules and decision trees to analyze the data, and 3) evaluating the output to interpret and present any discoveries back to users. Key data mining algorithms and implementing data mining on top of a data warehouse are also covered.