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Preview
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Data Mining Types of Analytics
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Integration of DMS with Data Warehouse & Database
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Data Objects and Attribute Types
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Data Quality
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Why We Need to Preprocess Data
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Data processing : Data Cleaning
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Data Cleaning : Noisy Data
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Data Preprocessing : Data Cleaning is a Process
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Data Preprocessing : Data Integration
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Data Preprocessing : Wavelet Transforms
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Data Reduction
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Data Preprocessing : Data Reduction Attribute Subset Selection
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Data Reduction: Nonparametric Methods to store Reduced Data
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Data Reduction: Nonparametric Methods to store Reduced Data Contd.
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Mining Frequent Patterns
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Apriori Algorithm
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Data Transformation and Data Discretization
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Association Rule Mining : Introduction
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Generating Association Rule from Frequent itemsets
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A Pattern Growth Approach (FP- Growth):Introduction
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FP- Tree Mining
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Classifications: Basic Concepts Part-1
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Classifications: Basic Concepts Part-2
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Classification Techniques
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Classification Techniques Decision Tree Introduction
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Attribute Selection Measures
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Information Gain:Example
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Attribute Selection Measure : Gain Ratio
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Attribute Selection Measure : Gini Index
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Bayes Classification Methods
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Naive Bayes Classification
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Naive Bayes Classification Example
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Partitioning Methods : K-Means
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Overview of Basics Clustering Methods
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Requirements for Cluster Analysis
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Introduction to Cluster Analysis
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K- Nearest -Neighbor Classifiers
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Bayesian Belief Networks
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Training Bayesian Belief Networks
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K-Medoids : A Representative Object - Based Technique
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Hierarchical Clustering
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Outliers and Outlier Analysis
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Outliers and Outlier Analysis Different Methods
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Statistical Approaches
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Other Outlier Detection Approaches
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Web Mining: Introduction
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Web Usage Mining
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Web Structure Mining
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Web Content Mining
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Text Mining
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Sentiment Analysis
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Episode Mining
