DS 520 Data Mining
At its core, Data Mining involves the processing, analysis, and presentation of data to gain valuable information. An important prerequisite is that appropriate data of high quality has been prepared and is relevant to the task at hand. The basic types of analysis include clustering, classification, regression, pattern mining, prediction, association, and outlier detection, with attention being given to various forms of data, including time-series data and web data. Many of these concepts depend on the notion of data proximity.