Exam 25: Introduction to Data Mining

Relate data mining algorithms to goals. -Scanner data gathered from various supermarket chains were merged with data from The travel industry (e.g., airlines, hotels, etc) into one data warehouse. Suppose the goal of Data mining using this data warehouse is to predict whether a customer's expenditures on International specialty food items would increase, decrease or stay the same in the next Year. What technique might be most appropriate for achieving this goal?

Relate data mining algorithms to goals. -Data gathered from various telecommunication companies (e.g. cable, phone, Internet service providers) and utility companies (electric, fuel, etc.) were merged into One data warehouse. Suppose the goal of data mining using this data warehouse was to Predict whether a household's telecommunication needs will increase, decrease or stay The same over the next year. What technique might be most appropriate for achieving This goal?

Recognize classification and regression problems in data mining. -Data gathered from home improvement retailers (e.g. Lowe's, Home Depot, etc.) and Publishing companies (magazines, books, etc.) were merged into one data warehouse. Suppose data mining is used to determine how much a customer spends annually on Energy efficient products. In data mining this is referred to as what type of problem?

Recognize classification and regression problems in data mining. -Data gathered from home improvement retailers (e.g. Lowe's, Home Depot, etc.) and Publishing companies (magazines, books, etc.) were merged into one data warehouse. Suppose data mining is used to determine whether or not a household subscribes to Magazines about home and garden. In data mining this is referred to as what type of Problem?

Identify data mining algorithms. -Popular data mining tools inspired by models that tried to mimic the function of the Brain are known as

Understand the data mining process. -Data not used in building the model but used to evaluate the performance of the Model is known as

Recognize classification and regression problems in data mining. -Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- Environment organizations (e.g., Sierra Club) were merged into one data warehouse. Suppose data mining is used to determine whether or not a customer would purchase a Hybrid vehicle. In data mining this is referred to as what type of problem?

Understand the data mining process. -Data used in a supervised problem to build the predictive model is known as

Understand the data mining process. -Information about variables, such as variable definitions as well as how and when data Were collected, is collectively called

Recognize classification and regression problems in data mining. -Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- Environment organizations (e.g., Sierra Club) were merged into one data warehouse. Suppose data mining is used to determine how important it is for a customer to purchase A vehicle with a very low carbon footprint. In data mining this is referred to as what type Of problem?

Understand the data mining process. -Which is not a phase of the data mining process?