Question 6 For the data set described below, give an example of the types of data mining questions that can be asked [one for each classication, clustering, association rule mining, and anomaly detection task) and the description of the data matrix (what are the rows and columns). If necessary, briey explain the features that need to be constructed. Note that, depending on your datamining question, the row and column denitions may be different. Example data: a collection of Web pages. DM Task: Classication of web pages Question: What type of web page? How: A web page. Column: Vocabulary of words that appear in a web page and a class attribute that indicates whether it is a personal home page, class web page, or company's web page. DM Task: Clustering of web pages Question: What are the documents with similar topics? How: A web page. Column: Vocabulary of words that appear in a web page. DM Task: Association rule mining Question: What are the words that appear together frequently? For example,teaching and re- search appear together frequently in faculty web pages. Row: A web page. Column: Vocabulary of words that appear in a web page. DM Task: Anomaly detection 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. (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