Week 4 Discussion: Association Analysis (Data Mining)

 

Questions:

Introduction<>

Association rules are created by searching data for frequent if-then patterns and using the criteria support and confidence to identify the most important relationships. Association rule mining has a number of applications and is widely used to help discover sales correlations in transactional data or in medical data sets. Discuss what is association rule mining explain Apriori algorithm? Why use support and confidence? Explain how to generate frequent itemset generation using hashing algorithm,’

conclusion<>

Grading Rubric for DF4

• Providing a comprehensive discussion of the topic: 25 percent
• Justifying ideas and responses by using appropriate examples and references from texts, Web sites, other references, or personal experience and cited the sources in the correct: 25 percent
• Commented on at least two of your classmates’ postings in a meaningful way at least 100 words: 25 percent
• Filling the number of required 200 words or more for the discussion: 25 percent

data miningInformation Technology