The major bottleneck in the apriori algorithm is the generation of candidate rules in Phase 1—for example, 
= {item 1 , item 2 , . . . , item m } can produce 2m possible itemsets. Because of its multiphase design, it first generates these itemsets and then works toward finding the frequent itemsets. This limitation is a huge performance bottleneck and makes the apriori algorithm unsuitable for larger items.
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Section 1: Fundamentals and Core Algorithms
- Overview of Algorithms
- Data Structures Used in Algorithms
- Sorting and Searching Algorithms
- Designing Algorithms
- Graph Algorithms
- Section 2: Machine Learning Algorithms
- Unsupervised Machine Learning Algorithms
- Introducing unsupervised learning
- Understanding clustering algorithms
- Dimensionality reduction
- Association rules mining
- Practical application– clustering similar tweets together
- Anomaly-detection algorithms
- Summary
- Traditional Supervised Learning Algorithms
- Understanding supervised machine learning
- Understanding classification algorithms
- Presenting the classifiers challenge
- Evaluating the classifiers
- Specifying the phases of classifiers
- Decision tree classification algorithm
- Understanding the ensemble methods
- Logistic regression
- The SVM algorithm
- Understanding the naive Bayes algorithm
- For classification algorithms, the winner is...
- Understanding regression algorithms
- Practical example – how to predict the weather
- Summary
- Neural Network Algorithms
- Algorithms for Natural Language Processing
- Recommendation Engines
- Introducing recommendation systems
- Types of recommendation engines
- Understanding the limitations of recommender systems
- Areas of practical applications
- Practical example – creating a recommendation engine
- Summary
- Section 3: Advanced Topics
- Data Algorithms
- Cryptography
- Introduction to Cryptography
- Understanding the Types of Cryptographic Techniques
- Example – Security Concerns When Deploying a Machine Learning Model
- Summary
- Large-Scale Algorithms
- Practical Considerations
- Other Books You May Enjoy
Limitations of the apriori algorithm
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