Data Mining, Decision Trees and Earthquake Prediction

Jul 08, 2012

720 likes | 950 Views

Share Presentation

Embed Code

Link

harvey

Download Presentation

Data Mining, Decision Trees and Earthquake Prediction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

1. Data Mining, Decision Trees and Earthquake Prediction Professor Sin-Min Lee

Data Mining in Artificial Intelligence: Decision Trees

Data Mining in Artificial Intelligence: Decision Trees. Outline. Introduction: Data Flood Top-Down Decision Tree Construction Choosing the Splitting Attribute Information Gain and Gain Ratio Pruning. Trends leading to Data Flood. More data is generated:

857 views • 56 slides

Data Mining: Classification and Prediction

Data Mining: Classification and Prediction. Duong Tuan Anh HCMC University of Technology July 2011. Outline. 1. Classification with decision trees 2. Artificial Neural Networks. 1. CLASSIFICATION WITH DECISION TREES.

1.22k views • 69 slides

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation

© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1. Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation. Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar. Classification: Definition.

1.12k views • 35 slides

Data Mining, Decision Trees and Earthquake Prediction

1.11k views • 72 slides

Data Mining and Decision Trees

Lecture 2 CS157B. Data Mining and Decision Trees. Prof. Sin-Min Lee Department of Computer Science. Evolution of Database Technology. 1960s: Data collection, database creation, IMS and network DBMS 1970s: Relational data model, relational DBMS implementation 1980s:

952 views • 66 slides

Data Mining With Decision Trees

MSCS282 - Data Mining With Decision Trees. 2. Overview. Decision TreesRules and Language BiasConstructing Decision TreesSome AnalysesHeuristicsQuality AssessmentExtensions. MSCS282 - Data Mining With Decision Trees. 3. Goals. Explore the complete data mining processUnderstand decision trees a

903 views • 56 slides

Data Mining using Decision Trees

Decision Trees from Data Base. ExAttAttAttConceptNumSizeColourShapeSatisfied1medbluebrickyes2smallredwedgeno3smallredsphereyes4largeredwedgeno5largegreenpillaryes6largeredpillarno7largegreensphereyes. . Choose target : Concept s

408 views • 26 slides

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. Classification: Definition. Given a collection of records ( training set )

1.67k views • 111 slides

Mining Decision Trees from Data Streams

Mining Decision Trees from Data Streams. Thanks: Tong Suk Man Ivy HKU. Contents. Introduction: problems in mining data streams Classification of stream data VFDT algorithm Window approach CVFDT algorithm Experimental results Conclusions Future work. Data Streams. Characteristics

933 views • 56 slides

Data Mining and Machine Learning Decision Trees and ID3

Data Mining and Machine Learning Decision Trees and ID3. David Corne, dwcorne@gmail.com. Decision Trees. Real world applications of DTs. See here for a list: http://www.cbcb.umd.edu/~salzberg/docs/murthy_thesis/survey/node32.html

635 views • 45 slides

Data Mining, Decision Trees and Earthquake Prediction

CS157B Lecture 4. Data Mining, Decision Trees and Earthquake Prediction. Professor Sin-Min Lee. What is Data Mining?. Process of automatically finding the relationships and patterns, and extracting the meaning of enormous amount of data. Also called “knowledge discovery”. Objective.

1.04k views • 72 slides

Data Mining: Classification and Prediction

Data Mining: Classification and Prediction. What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation.

2.63k views • 174 slides

Data Mining using Decision Trees

Data Mining using Decision Trees. Professor J. F. Baldwin. Decision Trees from Data Base. Ex Att Att Att Concept Num Size Colour Shape Satisfied 1 med blue brick yes 2 small red wedge no 3 small red sphere yes 4 large red wedge no 5 large green pillar yes

411 views • 26 slides

Data Mining – Algorithms: Decision Trees - ID3

Data Mining – Algorithms: Decision Trees - ID3. Chapter 4, Section 4.3. Common Recursive Decision Tree Induction Pseudo Code. If all instances have same classification Stop, create leaf with that classification Else Choose attribute for root

778 views • 43 slides

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation. Lecture Materials extracted mainly from Text “Introduction to Data Mining” of Tan, Steinbach, Kumar. Classification: Definition. Given a collection of records ( training set )

1.13k views • 91 slides

Decision trees for stream data mining – new results

Decision trees for stream data mining – new results. Leszek Rutkowski – leszek.rutkowski@iisi.pcz.pl Lena Pietruczuk – lena.pietruczuk@iisi.pcz.pl Maciej Jaworski – maciej.jaworski@iisi.pcz.pl Piotr Duda – piotr.duda@iisi.pcz.pl. Czestochowa University of Technology

227 views • 12 slides

Data Mining – Algorithms: Decision Trees - ID3

453 views • 43 slides

Data Mining: Classification and Prediction

1.76k views • 174 slides

Applied Data Mining Basic Decision Trees in R

Applied Data Mining Basic Decision Trees in R. Myles Gartland Rockhurst University. To GUI or Not to GUI. CLI IDE GUI. Classification vs. Prediction. Classification predicts categorical class labels (discrete or nominal)

169 views • 15 slides

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation

COP5577: Principles of Data Mining Fall 2009 Lecture 4 Dr. Tao Li Florida International University. Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation. Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar. Classification: Definition.

1.2k views • 112 slides

More Related