Data Mining

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Here are the best resources to pass Data Mining. Find Data Mining study guides, notes, assignments, and much more.

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DATA MINING PACKAGE
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July 2025
This document offers a comprehensive overview of all major topics in data mining, including foundational concepts, data preprocessing techniques, machine learning integration, and cluster analysis methods. It covers essential functionalities such as classification, association rule mining, data cleaning, transformation, supervised and unsupervised
anshisharma
$25.99 More Info

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Data Mining - Cluster Analysis
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July 2025

2024/2025
This document covers the principles of cluster analysis in data mining, including its definition, purpose, and key algorithms such as k-means, hierarchical clustering, and DBSCAN. It explains how data points are grouped based on similarity and outlines applications in market segmentation, image analysis, and anomaly detection. The content is suitable for students and professionals learning data mining or working on unsupervised data problems.
anshisharma
$10.49 More Info

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Data Mining - Machine learning
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23

July 2025

2024/2025
This document explores the role of machine learning in data mining, covering supervised, unsupervised, and semi-supervised learning models. It explains how algorithms like decision trees, k-means clustering, support vector machines, and neural networks are applied to extract meaningful patterns from data. It also discusses model evaluation and the synergy between machine learning and traditional data mining processes. Suitable for students studying data mining, machine learning, or AI.
anshisharma
$10.49 More Info

Class notes

Data Mining – Data Preprocessing
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July 2025

2024/2025
This document provides a detailed overview of data preprocessing in the context of data mining. It explains key steps such as data cleaning, integration, transformation, and reduction, along with handling missing values, noise, and outliers. The content highlights the importance of preprocessing in improving the quality of mining results and includes examples from real-world datasets. Ideal for students and professionals in data science and analytics.
anshisharma
$10.49 More Info

Class notes

Data Mining basics
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8

July 2025

2024/2025
This document introduces the foundational concepts of data mining, including its objectives, process, and major functionalities like classification, clustering, association rule mining, and prediction. It also outlines the role of data preprocessing, types of data used, and real-world applications across domains such as business intelligence, healthcare, and marketing. Suitable for beginners and students in data science, computer science, or analytics courses.
anshisharma
$10.49 More Info