Data Mining (Spring 2022)

Section outline

• Select section Data Mining (Fall 2021) _CSE450 (SAK 213)

  Data Mining (Fall 2021) _CSE450 (SAK 213)

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  • Select activity Welcome  message from Course Instructor

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    Welcome  message from Course Instructor
    
  • Select activity Announcements

    

    Announcements Forum
  • Select activity Announcements

    

    Announcements Forum
  • Select activity Course Outline

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    Course Outline

  • Select activity Class Link:

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    Class Link:

• Select section Week 1: Introduction

  Week 1: Introduction

  Topics of Discussion

  • Introduction to data mining
  • Relationship to data warehousing
  • Why data mining is a discipline?
  • Overview of data mining tasks: Clustering, Classifications, Rules learning etc

  
  

  Expected Learning Outcome

  • Appreciation of the needs of data mining
  • Visualization of data warehouse and relationship to data mining
  • Visualization of different data mining tasks

  • Select activity Class Discussion Slide

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    Class Discussion Slide

  • Select activity Class Record_1.2_Lecture_GClass Record_1.2_Lecture...

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  • Select activity Working with Python Basics

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    Working with Python Basics

  • Select activity Working with Python and NumPy

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    Working with Python and NumPy
    

  • Select activity Working with NumPy Part 2Download Data File

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    • Working with NumPy Part 2
    • Download Data File

    
    

  • Select activity Working with Data File

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    Working with Data File

• Select section Week 2: Working with Data

  Week 2: Working with Data

  Topics of Discussion

  • Review of data mining task and related application examples
  • Data Warehousing Introduction
  • Course Project Team and discussion

  
  

  Expected Learning Outcome

  • Identification of data mining task
  • Team formation for the course project

  
  

  • Project Guideline

  • Select activity Class Discussion Slide

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    Class Discussion Slide

  • Select activity Class Record_2.1_Lecture_GClass Record_2.1_Lecture...

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  • Select activity Class Record_2.2_Lecture_GClass Record_2.2_Lecture...

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  • Select activity Lab Session 2: Working with Data Preprocessing in ...

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    Lab Session 2: Working with Data Preprocessing in Weka or Jupyter Notebook

  • Select activity Working with Python and PandaDownload CSV File

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    • Working with Python and Panda
    • Download CSV File

  • Select activity Assignment-1

    

    Assignment-1

    Opened: Sunday, 6 February 2022, 8:00 AM

    Due: Tuesday, 8 February 2022, 11:59 PM

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• Select section Week 3: Data Exploration

  Week 3: Data Exploration

  Topics of Discussion

  • Discussion on data mining process: Data preparation and cleansing and task identification
  • Project Discussion and execution plan
  • Class Test # 1

  Expected Learning Outcome
  

  • Visualization data mining processes
  • Selection of project topic by team

  • Select activity Class Discussion Slide

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    Class Discussion Slide

  • Select activity Class Record_3.1_Lecture_GClass Record_3.1_Lecture...

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  • Select activity Additional Reading

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    Additional Reading

  • Select activity Working with Python and Panda-Part 1Download Data ...

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    • Working with Python and Panda-Part 1
    • Download Data Fle-Part 1
    • Working with Python and Panda-Part 2
    • Download Data File-Part 2

  • Select activity Quiz 01

    

    Quiz 01

    Opened: Tuesday, 22 February 2022, 8:30 PM

    Closed: Tuesday, 22 February 2022, 9:30 PM

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• Select section Week 4: Classification and Prediction

  Week 4: Classification and Prediction

  Topics of Discussion

  • Classification and Prediction
  • Classification: tree-based approaches

  Expected Learning Outcome

  • Problem solving for classification and prediction
  • Using Weka and other DM tools

  • Select activity Class Discussion Slide

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    Class Discussion Slide

  • Select activity Discussion on Decision Tree

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    Discussion on Decision Tree

  • Select activity Class Record_4.1_Lecture_GClass Record_4.1_Lecture...

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  • Select activity Working with Python and ClassificationDownload Dat...

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    • Working with Python and Classification
    • Download Data File
    • Working with Python and Classification-Part 2
    • Download Data File for Part 2

  • Select activity Tutorials Point Lab Practice: scikit-learn

    

    Tutorials Point Lab Practice: scikit-learn File

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  • Select activity Another PPT of Classification

    

    Another PPT of Classification File

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  • Select activity Another Resource of Entropy and Gain

    

    Another Resource of Entropy and Gain File

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• Select section Week 5: Classification Tuning

  Week 5: Classification Tuning

  Topics of Discussion

  • Classification and Prediction with tuning
  • Classification: tree-based approaches
  • Course Project Presentation 1

  Expected Learning Outcome

  • Problem solving for classification and prediction
  • Using Weka and other DM tools

  
  

  • Select activity Class Discussion Slide

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    Class Discussion Slide

  • Select activity Working with Python and Regression

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    Working with Python and Regression
    
    

  • Select activity Decision Tree pdf

    

    Decision Tree pdf File

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  • Select activity Decision Tree Entopy Gain

    

    Decision Tree Entopy Gain File

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  • Select activity Gini Index

    

    Gini Index File

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  • Select activity Class Record_5.1_Lecture_GClass Record_5.1_Lecture...

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    Class Record_5.1_Lecture_G
    

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• Select section Week 6: Nearest Neighbor and Bayesian Classification

  Week 6: Nearest Neighbor and Bayesian Classification

  Topics of Discussion

  • Nearest Neighbor Classifier
  • Bayesian Classification
  • Class Test # 2

  
  

  Expected Learning Outcome

  • Understand nearest neighbor classification
  • Problem solving using Weka

  • Select activity Class Discussion on Bayes Theorem Slide

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    Class Discussion on Bayes Theorem Slide

  • Select activity Class Discussion on Nearest Neighbor Slide

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    Class Discussion on Nearest Neighbor Slide

  • Select activity Class Discussion on Nearest Neighbor Classificatio...

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    Class Discussion on Nearest Neighbor Classification Slide

  • Select activity Working with Python and Nearest NeighborDownload D...

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    • Working with Python and Nearest Neighbor
    • Download Data File

  • Select activity Bayes rule

    

    Bayes rule File

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  • Select activity Class Activities Resource Link on Bayes Classifier

    

    Class Activities Resource Link on Bayes Classifier URL

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  • Select activity Class Record_5.2_lecture_H

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    Class Record_5.2_lecture_H

    
    

  • Select activity Class Record_6_Lecture_GClass Record_6_Lecture_H

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    Class Record_6_Lecture_G

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• Select section MID

  MID

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• Select section Week 8: Association Rule Mining

  Week 8: Association Rule Mining

  Topics of Discussion

  • Association Rule Mining
  • Problem Solving using association rule mining

  Expected Learning Outcome

  • Apply the knowledge of association rule mining
  • Problem solving using Weka

  • Select activity Class Discussion on Association Rule Mining Slide

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    Class Discussion on Association Rule Mining Slide

  • Select activity Working with Python and Association Rule MiningDow...

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    • Working with Python and Association Rule Mining
    • Download Data File

  • Select activity Apriori pdf resource

    

    Apriori pdf resource File

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  • Select activity Class Record_8.1_Lecture_HClass Record_8.1_Lecture...

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    Class Record_8.1_Lecture_H
    

    Class Record_8.1_Lecture_G
    

  • Select activity Lecture Slide of Association Rule Mining

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    Lecture Slide of Association Rule Mining

• Select section Week 9: Working with Clustering

  Week 9: Working with Clustering

  Topics of Discussion

  • Clustering Data
  • Problem Solving using Clustering
  • Course Project Presentation 2

  
  

  Expected Learning Outcome

  • Understanding of clustering in data mining
  • Problem solving using clustering

  • Select activity Class Discussion on Clustering Slide

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    Class Discussion on Clustering Slide

  • Select activity Working with Python and Clustering

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    Working with Python and Clustering
    

  • Select activity K-MEAN Clustering

    

    K-MEAN Clustering File

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  • Select activity Class Record_9.1_Lecture_GClass Record_9.1_Lecture...

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    Class Record_9.1_Lecture_G
    

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  • Select activity Class Record_9.2_Lecture_GClass Record_9.2_Lecture...

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    Class Record_9.2_Lecture_G
    

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  • Select activity Class Record_9.3_Lecture_H

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  • Select activity Quiz 2

    

    Quiz 2

    Opened: Sunday, 10 April 2022, 10:10 PM

    Closed: Sunday, 10 April 2022, 11:15 PM

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• Select section Week 10: Neural Network

  Week 10: Neural Network

  Topics of Discussion

  • Neural Network
  • Application of neural network

  
  

  Expected Learning Outcome

  • Apply knowledge of neural network
  • Problem solving

  • Select activity Class Discussion on Neural Network Slide

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    Class Discussion on Neural Network Slide

  • Select activity Basic Neural Network

    

    Basic Neural Network File

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• Select section Week 11: Course Project Discussion

  Week 11: Course Project Discussion

  Topics of Discussion

  • Working with Data Mining Projects
  • Class Test # 3

  
  

  Expected Learning Outcome

  • Ability to apply data mining knowledge in development project

  
  

  • Select activity Project Presentation Guideline

    

    Project Presentation Guideline File

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• Select section Final Examination Summer 2021

  Final Examination Summer 2021
• Select section EXTRA QUIZ

  EXTRA QUIZ

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• Select section Assignment & Presentation

  Assignment & Presentation

  • Select activity Presentation Record Link

    

    Presentation Record Link Forum

    Due: Tuesday, 12 April 2022, 11:59 PM

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  • Select activity Presentation Slide

    

    Presentation Slide Assignment

    Opened: Wednesday, 6 April 2022, 10:00 AM

    Due: Wednesday, 13 April 2022, 11:59 PM

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  • Select activity Assignment on Rule Mining

    

    Assignment on Rule Mining

    Opened: Wednesday, 6 April 2022, 10:00 AM

    Due: Wednesday, 13 April 2022, 11:59 PM

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