Transcription of Lecture Notes for Chapter 2 Introduction to Data Mining ...
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01/27/20211 Introduction to data Mining , 2nd Edition Tan, Steinbach, Karpatne, KumarData Mining : DataLecture Notes for Chapter 2 Introduction to data Mining , 2ndEditionbyTan, Steinbach, Kumar01/27/20212 Introduction to data Mining , 2nd Edition Tan, Steinbach, Karpatne, KumarOutline Attributes and Objects Types of data data Quality Similarity and Distance data Preprocessing12 What is data ? Collection of data objects and their attributes An attributeis a property or characteristic of an object Examples: eye color of a person, temperature, etc. attribute is also known as variable, field, characteristic, dimension, or feature A collection of attributes describe an object Object is also known as record, point, case, sample, entity, or instanceTid Refund Mari t al Status Taxable Income Cheat 1 Yes Single 125K No 2 No Marr i ed 100K No 3 No Single 70K No 4 Yes Marr i ed 120K No 5 No Div
Lecture Notes for Chapter 2 Introduction to Data Mining , 2nd Edition by Tan, Steinbach, Kumar ... 2 test Categorical Qualitative Ordinal Ordinal attribute values also order objects. (<, >) hardness of minerals, ... – Relationships between the data
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Visualization, Between, Variables, Relationships, Chapter, Introduction, Categorical variables, Relationships between, PROC FREQ, Categorical, Chapter 305 Multiple Regression, Categorical Variables Categorical variables, PICOT, Problem Statement, Research Question, Introduction to measurement and statistics, Chapter 2