Test Bank With Solutions Manual

Test Bank With Solutions Manual For Introduction to Data Mining 2e Pang-Ning Tan, Michael Steinbach, Vipin Kumar (All Chapters, 100% Original Verified, A+ Grade) Part 1: Test bank: Pages 1-234 Part 2: Solutions Manual: Pages 235-401 1 / 4

1 Introduction

• [Fall 2008]

For each data set given below, give specic examples of classication, clustering, association rule mining, and anomaly detection tasks that can be performed on the data. For each task, state how the data matrix should be constructed (i.e., specify the rows and columns of the matrix).(a) Ambulatory Medical Care data 1 , which contains the demographic and medical visit information for each patient (e.g., gender, age, duration of visit, physician's diagnosis, symptoms, medication, etc).

Answer:

Classication

Task: Diagnose whether a patient has a disease.

Row: Patient

Column: Patient's demographic and hospital visit information (e.g., symptoms), along with a class attribute that indicates whether the patient has the disease.Clustering

Task: Find groups of patients with similar medical conditions

Row: A patient visit

Column: List of medical conditions of each patient

Association rule mining Task: Identify the symptoms and medical conditions that co-occur together frequently

Row: A patient visit

Column: List of symptoms and diagnosed medical conditions of the patient

Anomaly detection

Task: Identify healthy looking patients with rare medical disorders

Row: A patient visit

Column: List of demographic attributes, symptoms, and medical test results of the patient 1 See for example, the National Hospital Ambulatory Medical Care Surveyhttp://www.cdc.gov/nchs/about/major/ahcd/ahcd1.htm Introduction to Data Mining 2e Pang-Ning Tan, Michael Steinbach, Vipin Kumar (Test Bank All Chapters, 100% Original Verified, A+ Grade)

Part 1: Test bank 2 / 4

• Chapter 1 Introduction

(b) Stock market data, which include the prices and volumes of various stocks on dierent trading days.

Answer:

Classication

Task: Predict whether the stock price will go up or down the next trading day

Row: A trading day

Column: Trading volume and closing price of the stock the previous 5 days and a class attribute that indicates whether the stock went up or down Clustering

Task: Identify groups of stocks with similar price uctuations

Row: A company's stock

Column: Changes in the daily closing price of the stock over the past ten years

Association rule mining Task: Identify stocks with similar uctuation patterns(e.g.,fGoogle-Up, Yahoo-Upg)

Row: A trading day

Column: List of all stock-up and stock-down events on the given day.

Anomaly detection Task: Identify unusual trading days for a given stock (e.g., unusually high volume)

Row: A trading day

Column: Trading volume, change in daily stock price (daily highlow prices), and average price change of its competitor stocks (c) Database of Major League Baseball (MLB).Classication

Task: Predict the winner of a game between two MLB teams.

Row: A game.

Column: Statistics of the home and visiting teams over their past 10 games they had played(e.g., average winning percentage and hitting percentage of their players) Clustering

Task: Identify groups of players with similar statistics

Row: A player

Column: Statistics of the player

Association rule mining Task: Identify interesting player statistics (e.g., 40% of right-handed players have a battingpercentage below 20% when facing left-handed pitchers)

Row: A player

Column: Discretized statistics of the player

Anomaly detection Task: Identify players who performed considerably better than expected in a given season

Row: A (player,season) pair e.g, (player1 in 2007)

Column: Ratio statistics of a player (e.g., ratio of average batting percentage in 2007 tocareer average batting percentage)

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2 Data 2.1 Types of Attributes 1.classify them as qualitative (nominal or ordinal) or quantitative (interval or ratio). Some cases may have more than one interpretation, so briey indicate your reasoning if you think there may be some ambiguity.(a)

Answer:Discrete, quantitative, ratio.

(b)

Answer:Discrete, quantitative, ratio.

(c)

Answer:Continuous, quantitative, interval or ratio. It is actually

a logratio type (which is somewhere between interval and ratio).(d)

Answer:Discrete, qualitative, ordinal.

(e)

Answer:Discrete, qualitative, nominal.

2.discrete or continuous.qualitative or quantitative nominal, ordinal, interval, or ratio

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