Data Mining

• data-mining-uts-quizPre UTS quiz for Data Mining2. Operational databases are the perfect example for OLTP (Online Transaction Processing) and data warehouses are for OLAP (Online Analytical Processing). This means that while operational databases handles day-to-day operations and are optimized for frequent updates, data warehouses are only limited to the storing large amounts of historical data, are optimized for complex queries, and are used for analysis instead of updates. The data warehouses will store the day-to-day updating data colle

knowdledge discovery in databaseskdddata-prepartion data mining pattern-evaluation knowledge-presentation Status: #idea Tags: data-mining References

data-warehousingdata-warehousingOLTP OLAP Status: #idea Tags: data-mining References

schema

Apriori Algorithm

Step 1: Count Distinct Items

Step 2: Identify Association Rules

FP Growth Algorithm

Step 1: Count Distinct Items

Step 2: Rearrange Items based count in descending order

Step 3: Make FP Growth Tree

1. Make Null Root Node

2. And make children sequentially

Step 4: Make Table

Ending with	Paths	Count of each item in path	Candidate itemset with count	Frequent itemset

Examples:

Step 5: Make association rules

hmm

Status: #MOC
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