If we read the picture above, we'll read DOAM NOIR. What's that mean?, try it in google. Ok, that's picture is created by me. For what? I use this picture for remember me about Data Mining chapter Data. It's about Type and Properties Attributes, so I've made it so easy to remember. A little about data mining, type and properties attribute.
The following properties (operations) of numbers are typically used to describe attributes:
- Distinctness (= and ≠)
- Order (<, ≤, >, and )
- Addition (+ and -)
- Multiplication (* and /)
There are different types of attributes
- Nominal
- Examples: ID numbers, eye color, zip codes
- Ordinal
- Examples: rankings (e.g., taste of potato chips on a scale from 1-10), grades, height in {tall, medium, short}
- Interval
- Examples: calendar dates
- Ratio
- Examples: length, time, counts
The type of an attribute depends on which of the following properties it possesses:
- Nominal attribute: distinctness
- Ordinal attribute: distinctness & order
- Interval attribute: distinctness, order & addition
- Ratio attribute: all 4 properties
*so, what do you think about that picture?
comment on with your language ...
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