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Download Features in Data Mining - The University of Iowa
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Features in Data Mining Andrew Kusiak Intelligent Systems Laboratory 2139 Seamans Center The University of Iowa Iowa City, IA 52242 - 1527 [email protected] http://www.icaen.uiowa.edu/~ankusiak Tel. 319-335 5934 Data Objects Example Feature (Attribute) F1 F2 F3 F4 Decision 7 3.4 Cold Appropriate Yes Feature value Types of Features (Attributes) ❏ Continuous quantitative feature ❏ Discrete quantitative feature ❏ Ordinal qualitative feature ❏ Nominal qualitative feature ❏ Tree structured feature Continuous quantitative features Continuous quantitative feature Discrete quantitative feature Ordinal qualitative feature Nominal qualitative feature Tree structured feature Examples: height, weight, blood pressure, speed, etc. Single numeric value Interval Fuzzy Discrete quantitative features Continuous quantitative feature Discrete quantitative feature Ordinal qualitative feature Nominal qualitative feature Tree structured feature Examples: ● Number of cities in a state ● Number of family members Ordinal qualitative features Continuous quantitative feature Discrete quantitative feature Ordinal qualitative feature Nominal qualitative feature Tree structured feature {Junior high 1 High school 2 Undergrad 3 Graduate school} 4 Nominal qualitative features Tree structured features Continuous quantitative feature Discrete quantitative feature Ordinal qualitative feature Nominal qualitative feature Tree structured feature Continuous quantitative feature Discrete quantitative feature Ordinal qualitative feature Nominal qualitative feature Tree structured feature 0 A Example 1 Microprocessor Male B Female Motorola Others Intel AB 68020 Tree structured features Continuous quantitative feature Discrete quantitative feature Ordinal qualitative feature Nominal qualitative feature Tree structured feature Example 2 68030 68040 80386 80486 Pentium HP Distance: A basic definition d (A, B) = || . || defined as, for example: Clothes Outwear Jackets Footwear Shirt • Length • Cardinality Shoes Hiking boots Skipants Distance: An example Distance: An example A B -1 -4 A 5 1 B || A ⊕ B|| A a B b A= {a, b| ||A ⊗ B|| c d e B = {b, c, d} || A ⊕ B || = card({a, b, c, d, e}) = 5 || A ⊗ B || = card ({ b}) = 1 Z80
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