27 jan 2021 · Introduction to Data Mining , 2nd Edition by Ordinal Ordinal attribute values also order objects () hardness of minerals, {good, better
chap data
Data Mining Lecture 2 5 Types of Attributes • There are different types of attributes – Nominal • Examples: ID numbers, eye color, zip codes – Ordinal
lecture
Data Mining: Practical Machine Learning Tools and Techniques (Chapter 2) Input: Concepts, instances What's in an attribute? Nominal, ordinal, interval, ratio Preparing the input ARFF, attributes, missing values, getting to know data
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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
DMlecture
Qualitative data consist of labels, features, non- numeric the attribute is represented by ordinal variable, such as regression, analysis of variance and factor
Data basics
Data Objects and Attribute Types 2 Data objects are described by attributes ( or dimension, feature, which type of attributes should be used? □ Nominal □ Ordinal □ Interval-scaled From the data mining point of view it is important to
lecture
Ordinal Ordinal attribute values also order objects () hardness of minerals, { good, better, best}, Data mining example: a classification model for detecting
lecture
It's tempting to jump straight into mining, but first, we need to get the data ready clude nominal attributes, binary attributes, ordinal attributes, and numeric
by attributes □ Database rows → data objects; columns → attributes Q1: Is student ID a nominal, ordinal, or numerical attribute? □ Q2: What about eye
Data osu