- rule sets, rules need not have an else clause. Rules are not ordered.
- if wage increase ≤ 2.5 then bad
- if wage increase > 2.5 and holidays > 10 then good
- if wage increase > 2.5 and holidays ≤ 10 and
wage increase ≤ 4 then bad - if wage increase > 2.5 and holidays ≤ 10 and
wage increase > 4 then good
- (replicated subtree)
p = T true / \ false q = H q = H / \ / \ 0 1 1 0
need four rules unless you use else
-
- Web mining: number of times accessed, number of times linked by other,
- Credit rating: income, outstanding debt, own-home, mortgage/rent
payment, loan payments, years at job, years in home - Image screening: list of pixel values, adjacent region labels,
confidence of adjacent region labels, average intensity, number of
pixels - Load forecasting: temperature, humidity, hours sunshine, wind,
outlook, day of week, major holiday - Device diagnosis: Fourier spectrum, loudness, location of sound
- When data has been anonymized, data mining could be used to
identify a person from the data. -
classification: outcome is play or not clustering: multiple classes, play or not play is treated like the other attributes associations: if rainy then humidity is high numerical outcome: number of hours played as a function of temperature
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Program Resources