'Eliminate data objects' diaporamas de présentation

Data Mining: Data

Data Mining: Data. Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar. 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.

837 views • 83 slides

Data Mining: Data

1.09k views • 79 slides

Data Mining: Data

1.05k views • 79 slides

Regarding Research Presentation&Report

Regarding Research Presentation&Report. Topics: data mining, big data, cloud computing First submission by 9/15, finalize on 9/19 (firm!) Title and a short description/abstract of subject List of related references (usually at least five) Realistic expectation: publishable surveys

833 views • 69 slides

Data Mining: Data

Data Mining: Data. Introduction to Data Mining by Tan, Steinbach, Kumar. 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.

1.08k views • 68 slides

Data Mining: Data

Data Mining: Data. Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar. 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.

996 views • 68 slides

Data Mining: Data

Data Mining: Data. Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar. 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.

752 views • 68 slides

Data Mining: Data

Data Mining: Data. Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar. 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.

684 views • 68 slides

Data Mining: Data

Data Mining: Data. Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar. 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.

797 views • 68 slides

Chapter 2 Data

Chapter 2 Data. What is Data?. Attributes. 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

836 views • 67 slides

Missing values problem in Data Mining

Missing values problem in Data Mining. Jelena Stojanovic 03/20/2014. Outline. Missing data problem Missing values in attributes Missing values in target variable Missingness mechanisms A approaches to Missing values Eliminate Data Objects Estimate Missing Values

881 views • 32 slides

Data Pre-processing

Data Pre-processing. Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar. What is Data?. Attributes. 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.

372 views • 22 slides