Class: Data Mining for Business Intelligence

For the data set described below, give an example of the types of data mining questions that can be asked (one for each classification, clustering, association rule mining, and anomaly detection task) and the description of the data matrix (what are the rows and columns). If necessary, briefly explain the features that need to be constructed. Note that, depending on your data-mining question, the row and column definitions may be different. Example data: a collection of Web pages. \begin{tabular}{|l|} \hline DM Task: Anomaly detection \\ \hline Question: Is it a legitimate web page or a web spam? A web spam is a web page created to \\ manipulate search engines and to deceive Web users. \\ Row: A web page. \\ Column: Vocabulary of words and features constructed from the hyperlinks of a web page. \\ Examples of constructed features include the fraction of hyperlinks toURLS that reside in the \\ same network domain or in another network domain. \\ \hline \end{tabular} (a) A clinical dataset containing various measures like temperature, blood pressure, blood glucose and heart rate for each patient during every visit, along with the diagnosis information