📘 DM

DATA MINING

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DM Unit 1: Introduction to Data Mining

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DM Unit 2: Association Analysis

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DM Unit 3: Classification

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DM Unit 4: Cluster Analysis and Outlier Detection

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DM Unit 5: Advanced Data Mining Concepts

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Syllabus Overview

UNIT - I Introduction to Data Mining

Foundations of Data Mining

  • What is Data Mining?
  • Kinds of Data
  • Knowledge Discovery Process (KDD)
  • Data Mining Functionalities
  • Kinds of Patterns
  • Major Issues in Data Mining

Data Understanding and Preprocessing

  • Data Objects and Attribute Types
  • Basic Statistical Descriptions of Data
  • Data Visualization Techniques
  • Measuring Data Similarity and Dissimilarity
  • Major Tasks in Data Preprocessing
  • Data Cleaning
  • Data Integration
  • Data Reduction
  • Data Transformation
  • Data Discretization

UNIT - II Association Analysis

Association Rule Mining

  • Basic Concepts of Association Analysis
  • Market Basket Analysis
  • Apriori Algorithm
  • FP-Growth Algorithm
  • From Association to Correlation Analysis
  • Pattern Mining in Multilevel Associations
  • Pattern Mining in Multidimensional Associations

UNIT - III Classification

Classification Techniques

  • Basic Concepts of Classification
  • Decision Tree Induction
  • Bayes Classification Methods (Naive Bayes)
  • Rule-Based Classification
  • Metrics for Evaluating Classifier Performance (Accuracy, Precision, Recall, F1-Score, ROC)
  • Ensemble Methods (Bagging, Boosting, Random Forest)
  • Multilayer Feed-Forward Neural Networks
  • Support Vector Machines (SVM)
  • k-Nearest Neighbor (k-NN) Classifiers

UNIT - IV Cluster Analysis and Outlier Detection

Cluster Analysis

  • Requirements for Cluster Analysis
  • Overview of Basic Clustering Methods
  • Partitioning Methods: k-Means, k-Medoids
  • Hierarchical Methods: AGNES, DIANA, BIRCH
  • Density-Based Method: DBSCAN

Outlier Analysis

  • Types of Outliers
  • Challenges in Outlier Detection
  • Overview of Outlier Detection Methods

UNIT - V Advanced Data Mining Concepts

Web Mining

  • Web Content Mining
  • Web Structure Mining
  • Web Usage Mining

Spatial Mining

  • Spatial Data Overview
  • Spatial Data Mining Primitives
  • Spatial Association Rules
  • Spatial Classification Algorithms
  • Spatial Clustering Algorithms

Temporal Mining

  • Modeling Temporal Events
  • Time Series Analysis
  • Temporal Pattern Detection
  • Sequence Mining
  • Temporal Association Rules
DATA MINING Notes