Data Mining Lecture 2 5 Types of Attributes • There are different types of attributes – Nominal • Examples: ID numbers, eye color, zip codes – Ordinal
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27 jan 2021 · Introduction to Data Mining , 2nd Edition by Tan, Steinbach Type Description Examples Operations Nominal Nominal attribute values only
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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
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Data Mining: Practical Machine Learning Tools and Techniques (Chapter 2) ARFF, attributes, missing values, getting to know data Instances: the individual, independent examples of We will focus on nominal and numeric ones 4 Data
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Description Examples Operations Nominal Nominal attribute values only distinguish Data mining example: a classification model for detecting people who
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Also called samples , examples, instances, data points, objects, tuples Q1: Is student ID a nominal, ordinal, or numerical attribute? □ Q2: What about eye color
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It's tempting to jump straight into mining, but first, we need to get the data ready This involves having a Customor ID is another example of a nominal attribute
Data Objects and Attributes □ Datasets are made up of data objects □ A data object ( or sample , example, instance, data point, tuple) represents an entity
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Introduction to Data Mining, 2nd Edition Tan, Steinbach, Karpatne, Kumar Types of Attributes ○ There are different types of attributes – Nominal ◇ Examples:
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Properties of Attribute Values. Data Mining. 14. Attribute. Type. Description. Examples. Nominal. The values of a nominal attribute are just.
27 janv. 2021 Description. Examples. Operations. Nominal. Nominal attribute values only ... Data mining example: a classification model for detecting.
What's in an example? Relations flat files
3 janv. 2020 Abstract—Ordinal data are common in many data mining and ... and ordinal attributes is common
tology of noun attributes mined from a text corpus and from user queries. ReNoun creates a seed set of training data by us-.
Also called samples examples
Examples. Operations. Nominal. The values of a nominal attribute are just different names i.e.
Also called samples examples
Data Mining Lecture 2 Example: Attribute values for ID and age are integers ... Examples. Operations. Nominal. The values of a nominal attribute are.
Categorical attributes may be of two types: Nominal: The attribute values in the domain are unordered and thus only equalitycomparisons are meaningful That is we can check only whether the value of theattribute for two given instances is the same or not For example Sexis a nominalattribute
We will focus on nominal and numeric ones Data Mining: Practical Machine Learning Tools and Techniques (Chapter 2) 4 What’s a concept? Styles of learning: Classification learning: predicting a discrete class Association learning: detecting associations between features Clustering: grouping similar instances into clusters
Data Mining Classification: Basic Concepts Decision Trees and Model Evaluation Data Mining Classification: Basic Concepts Decision Trees and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining by Tan Steinbach Kumar © TanSteinbach Kumar Introduction to Data Mining 4/18/2004 1 © TanSteinbach Kumar
novel technique to analyse nominal data by making a systematic comparison of data pairs followed by numeric data analysis providing the opportunity to focus on promising correlations for deeper analysis Keywords-Data Mining; Educational Data Mining; Data Analytics; Numeric Nominal Data Analysis; Dimensionality
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 instance Attributes Attribute Values
The type of an attribute depends on which of the following properties it possesses: Distinctness: = ? Order: < > Addition: + - Multiplication: * / Nominal attribute: distinctness Ordinal attribute: distinctness & order Interval attribute: distinctness order & addition Ratio attribute: all 4 properties 5 6
A binary attribute is a special nominal attribute with only two states: 0 or 1 • A binary attribute is symmetric if both of its states are equally valuable and
There are different types of attributes – Nominal:Examples: ID numbers eye color zip codes – Ordinal: Examples: rankings (e g taste of potato
27 jan 2021 · – Examples: eye color of a person temperature etc – Attribute is also known as variable field characteristic dimension or feature
Attributes: measuring aspects of an instance We will focus on nominal and numeric ones 4 Data Mining: Practical Machine Learning Tools and Techniques
A binary attribute is a nominal attribute with only two categories or states: 0 or 1 where 0 typically means that the attribute is absent and 1 means that it
In classification learning the output attribute is always nominal • Nominal comes from the Latin word for name • No relation is implied among nominal values
Data Mining Lecture 2 5 Types of Attributes • There are different types of attributes – Nominal • Examples: ID numbers eye color zip codes
CSE4334/5334 Data Mining Collection of data objects and their attributes Examples Operations Nominal The values of a nominal attribute are
Proximity Measure for Nominal Attributes • Can take 2 or more states e g red yellow blue green (generalization of a binary attribute)
Examples Operations Nominal Nominal attribute values only distinguish (= ?) Data mining example: a classification model for detecting
What is a binary nominal attribute?
marital status, occupation, ID numbers, zip codes Binary Nominal attribute with only 2 states (0 and 1) Symmetric binary: both outcomes equally important, e.g., gender Asymmetric binary: outcomes not equally important. e.g., medical test (positive vs. negative) Convention: assign 1 to most important outcome (e.g., HIV positive)
What is a continuous attribute in data mining?
• Continuous Attribute – Has real numbers as attribute values – Examples: temperature, height, or weight – Practically, real values can only be measured and represented using a finite number of digits – Continuous attributes are typically represented as floating- point variables Data Mining Lecture 2 10
What are some examples of data mining?
• Examples: rankings (e.g., taste of potato chips on a scale from 1-10), grades, height in {tall, medium, short} – Interval • Examples: calendar dates, temperatures in Celsius or Fahrenheit. – Ratio • Examples: temperature in Kelvin, length, time, counts Data Mining Lecture 2 6
What is data and its attributes?
What is Data? • Collection of data objects and their attributes • An attribute is a property or characteristic of an object – Examples: eye color of a person, temperature, etc. – Attribute is also known as variable, field, characteristic, or feature • A collection of attributes describe an object
Data Objects and Attribute Types • Basic Statistical Descriptions of