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Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar PowerPoint Presentation
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Objectives Data Mining Course. Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar. Using R for Data Analysis and Data Mining. Apply Data Mining to Real World Datasets. Exploratory Data Analysis and Preprocessing.

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Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar


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    1. Objectives Data Mining Course Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar Using R for Data Analysis and Data Mining Apply Data Mining to Real World Datasets Exploratory Data Analysis and Preprocessing Goals and Objectives of Data Mining Making Sense of Data Implementing Data Mining Algorithms Classification Techniques Association Analysis Learn How to Interpret Data Mining Results Clustering Algorithms

    2. Top 10 Data Mining Algorithms C4.5 SVM K-means APRIORI EM PageRank AdaBoost kNN Naïve Bayes CART