Data Mining Notes Pdf Free Download
Data Mining Notes for Students PDF
Date: 3rd Dec 2021
In these " Data Mining Notes for Students 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 multiple complete Data Mining Notes for Btech 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 the exam. Students can easily make use of all these Data Mining Notes for Btech by downloading them.
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.
Download Data Mining Notes for BTech
Data Mining Handwritten Notes PDF
Contributor: Riya Goel
College: KMV (DU)
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Data Mining Handwritten Notes PDF
Contributor: Deepanshu
College: KMV (DU)
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Data Mining Notes for Students PDF
Contributor: Ambika
College: Shaheed Rajguru (DU)
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Contributor: Aditi
College: ARSD (DU)
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Data Mining Notes for Students PDF
Contributor: Abhishek Sharma
College: KMV (DU)
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Data Mining Notes for Students PDF
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Data Mining Books
We have listed the best Data Mining Books that can help in your Data Mining exam preparation:
Data Mining Handwritten Notes PDF FAQs
What is Data Mining ?
Data mining refers to extracting or mining knowledge from large amounts of data. The term is actually a misnomer. Thus, data mining should have been more appropriately named as knowledge mining which emphasis on mining from large amounts of data.
What does data mining mean ?
It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.
What are the key properties of Data Mining ?
1. Automatic discovery of patterns
2. Prediction of likely outcomes
3. Creation of actionable information
4. Focus on large datasets and databases
What are the tasks of Data Mining ?
Data mining involves six common classes of tasks:
1. Anomaly detection (Outlier/change/deviation detection)
2. Association rule learning (Dependency modelling)
3. Clustering
4. Classification
5. Regression
6. Summarization
Computer Science Notes
Handwritten Analytical Clinical Biochemistry Notes PDF Download
In these "Analytical Clinical Biochemistry Notes PDF", we will study the biochemically significant features of the proteins, enzymes, nucleic acids, and lipids, using suitable examples. This includes classification, properties, and biological importance of biomolecules. The course provides an overview of drug-receptor interaction and Structure-Activity Relation (SAR) studies. It will introduce the students to the concept of genetic code and concept of heredity. The key emphasis is placed on understanding the basic principles that govern the biological functions of biomolecules.
URL: https://www.tutorialsduniya.com/notes/analytical-clinical-biochemistry-notes/
Author: Abhishek Sharma
Posted by: reedreedmatiase0273021.blogspot.com
Source: https://www.tutorialsduniya.com/notes/data-mining-notes/
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