## Data Mining Notes for Students PDF

Free Data Mining notes pdf are provided here for Data Mining students so that they can prepare and score high marks in their Data Mining exam.

In these Data Mining free notes pdf, we will introduce data mining techniques and enables you to apply these techniques on real-life datasets. These notes focus on three main data mining techniques: Classification, Clustering, and Association Rule Mining tasks.

We have provided complete Data Mining Handwritten notes pdf for any university student of BCA, MCA, B.Sc, B.Tech CSE, M.Tech branch to enhance more knowledge about the subject and to score better marks in their Data Mining exam.

Free Data Mining notes pdf are very useful for Data Mining students in enhancing their preparation and improving their chances of success in Data Mining exam.

Topics in our Data Mining Handwritten Notes PDF

The topics we will cover in these Data Mining Handwritten Notes PDF will be taken from the following list:

Introduction to Data Mining: Applications of data mining, data mining tasks, motivation and challenges, types of data attributes and measurements, data quality.

Data Pre-Processing: Aggregation, sampling, dimensionality reduction, Feature Subset Selection, Feature Creation, Discretization and Binarization, Variable Transformation.

Classification: Basic Concepts, Decision Tree Classifier: Decision tree algorithm, attribute selection measures, Nearest Neighbour Classifier, Bayes Theorem, and Naive Bayes Classifier,

Model Evaluation: Holdout Method, Random Sub Sampling, Cross-Validation, evaluation metrics, confusion matrix.

Association rule mining: Transaction data-set, Frequent Itemset, Support measure, Apriori Principle, Apriori Algorithm, Computational Complexity, Rule Generation, Confidence of association rule.

Cluster Analysis: Basic Concepts, Different Types of Clustering Methods, Different Types of Clusters

K-means: The Basic K-means Algorithm, Strengths and Weaknesses of K-means algorithm

Agglomerative Hierarchical Clustering: Basic Algorithm, Proximity between clusters

DBSCAN: The DBSCAN Algorithm, Strengths, and Weaknesses.

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## Data Mining Books

We have listed the best Data Mining Books that can help in your Data Mining exam preparation:

## Benefits of FREE Data Mining Notes PDF

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## Data Mining Notes FAQs

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