Association Rule Mining
Kursus
90 Allerede tilmeldte studerende- Grasp the fundamental concepts behind association rule mining, including the definition, significance, and overview of ARM.
- Assess the relationship between items in datasets using measures like support, confidence, and lift.
- Apply the Apriori and FP-Growth algorithms to conduct frequent itemset mining.
- Identify optimization techniques to streamline the mining process for more efficient data analysis.
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Der er 3 moduler i dette kursus
The Association Rule Mining course offers a comprehensive exploration of the principles and methodologies behind uncovering meaningful associations in large datasets. From understanding the fundamental measures like support, confidence, and lift to employing advanced algorithms such as Apriori and FP-Growth, you will develop the skills necessary to extract valuable insights from transactional data. Through practical applications in diverse domains like retail, healthcare, and finance, participants learn to drive data-driven decision-making, optimize business processes, and uncover hidden opportunities for growth and innovation.- Apriori AlgorithmForhåndsvisning
- Challenge: Apriori Algorithm ImplementationForhåndsvisning
- Optimization Techniques for Efficient Itemset MiningForhåndsvisning
- FP-growth Algorithm.FP-treeForhåndsvisning
- FP-growth AlgorithmForhåndsvisning
- Challenge: FP-growth ImplementationForhåndsvisning
- How to Choose Minimum Support/Confidence ValuesForhåndsvisning
Udvalgt af studerende fra de allerbedste skoler
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