Simplify Data Mining: Methods and Benefits Unveiled

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DATA MINING
And its Techniques
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Introduction to Data Mining

• Definition Data mining is the process of
  extracting knowledge or insights from massive
  amounts of data through statistical and
  computational techniques.
• Objective Finding hidden patterns and
  relationships in data to make predictions or
  informed decisions.
• Importance Enables companies to gain insights
  into clientele, improve revenue, reduce costs,
  and develop effective marketing strategies.

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How Data Mining Works

• Process Examining and evaluating big data blocks
  to find significant patterns and trends.
• Applications Fraud detection, credit risk
  management, spam filtering, market research, etc.
• Steps
• Data Gathering and Loading
• Data Organization and Planning
• Custom Application Software Utilization

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• Association Rules
• Classification
• Clustering
• Decision Trees
• K-Nearest Neighbor (KNN)
• Neural Networks
• Predictive Analysis

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Data Mining Process

• Understand the Business
• Understand the Data
• Prepare the Data
• Build the Model
• Evaluate the Results
• Implement Change and Monitor

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