INFS%755%(Fall%2008)%%
%
Assignment)1)(Due%on%09/22/2008)%%
%
This is an individual assignment. Please ensure that assignment is submitted in
class in hard copy before start class. No late submissions allowed. The first part
of the assignment are a few questions from Chapter 1 and Chapter 2. The
second part gives you a feel for the KDD process and dealing with data. It lets
you get acquainted to WEKA.
%
Part%1%(50%points)%(Questions%borrowed%from%the%
Tan%et.%al.%book)%
%
1. Discuss whether or not each of the following activities is a data-mining
task. [2 points each โ 10 points]
a. Sorting a student database based on the student identification
number.
b. Predicting the future stock price of a company using historical
records.
c. Monitoring the heart rate of a patient for abnormalities.
d. Monitoring seismic waves for earthquake activities.
e. Extracting the frequencies of a sound wave.
2. Classify the following attributes as binary, discrete, or continuous. Also
classify them as qualitative (nominal or ordinal) or quantitative (interval
or ratio). Some cases may have more than one interpretation, so
briefly, indicate your reasoning if you think there may be some
ambiguity. [3 points each โ 15 points]
a. Brightness as measured by a light meter.
b. Angles as measured in degrees between 0 degrees and 360
degrees.
c. Bronze, Silver, and Gold medals as awarded at the Olympics.
d. ISBN numbers for books.
e. Military Rank.
f. Coat check number.
3. Which of the following quantities is likely to show more temporal
autocorrelation: daily rainfall or daily temperature? Why? [5 points]
