MM - Write short notes on ASM.
Certainly! Here are the key concepts and short sentences that you can use to create a mind map for Association Rule Mining (ASM):
Association Rule Mining (ASM) Mind Map
1. Introduction
- Definition: Finding relationships in data
- Purpose: Discover patterns & associations
2. Objective
- Identify strong rules in databases
- Market basket analysis
- Cross-selling strategies
- Recommendation systems
3. Terminology
- Itemset: Collection of items
- Frequent Itemset: Appears frequently
- Support: Proportion of transactions with itemset
- ( \text{Support}(A) = \frac{\text{Transactions with } A}{\text{Total transactions}} )
- Confidence: Likelihood of item B with A
- ( \text{Confidence}(A \rightarrow B) = \frac{\text{Support}(A \cup B)}{\text{Support}(A)} )
- Lift: Association strength over random
- ( \text{Lift}(A \rightarrow B) = \frac{\text{Confidence}(A \rightarrow B)}{\text{Support}(B)} )
4. Key Algorithms
- Apriori Algorithm
- Steps: Generate frequent itemsets, create rules
- Example: {Milk, Bread} frequent, {Milk} → {Bread}
- FP-Growth Algorithm
- Steps: Construct FP-tree, extract frequent itemsets
- Example: FP-tree compression, recursive extraction
5. Applications
- Market Basket Analysis
- Analyze purchase data
- Example: Bread & butter association
- Recommendation Systems
- Suggest products/services
- Example: E-commerce recommendations
- Web Usage Mining
- Analyze web logs
- Example: Common navigation paths
- Intrusion Detection
- Detect abnormal patterns
- Example: Network security threats
6. Advantages
- Uncover hidden patterns
- Applicable to various domains
- Actionable business insights
7. Challenges
- Scalability: Handling large datasets
- Relevance: Filtering useful rules
- Complexity: Computational challenges
Example Mind Map Layout
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Center Node: Association Rule Mining (ASM)
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Branches:
- Introduction
- Definition
- Purpose
- Objective
- Identify rules
- Market analysis
- Cross-selling
- Recommendations
- Terminology
- Itemset
- Frequent Itemset
- Support
- Formula
- Confidence
- Formula
- Lift
- Formula
- Itemset
- Key Algorithms
- Apriori Algorithm
- Steps
- Example
- FP-Growth Algorithm
- Steps
- Example
- Apriori Algorithm
- Applications
- Market Basket
- Example
- Recommendations
- Example
- Web Mining
- Example
- Intrusion Detection
- Example
- Market Basket
- Advantages
- Hidden patterns
- Multiple domains
- Business insights
- Challenges
- Scalability
- Relevance
- Complexity
- Introduction
By organizing these keywords and short sentences into a mind map, you can visually capture and recall the essential concepts and relationships within Association Rule Mining.