# Data Mining

### **ASSOCIATION RULES**

1. [**Association rules slides**](https://www.slideshare.net/wanaezwani/apriori-and-eclat-algorithm-in-association-rule-mining) **- apriori, eclat, fp growth - pretty complete**
2. [**Terms**](https://www.kdnuggets.com/2016/04/association-rules-apriori-algorithm-tutorial.html) **- lift, confidence**
3. [**Paper - basic concepts and algo**](https://www-users.cs.umn.edu/~kumar001/dmbook/ch5_association_analysis.pdf)

**Knoldus**

1. [**Apriori**](https://blog.knoldus.com/machinex-why-no-one-uses-apriori-algorithm-for-association-rule-learning/)
2. [**Association rules**](https://blog.knoldus.com/machinex-two-parts-of-association-rule-learning/)
3. [**Fp-growth**](https://blog.knoldus.com/machinex-frequent-itemset-generation-with-the-fp-growth-algorithm/)
4. [**Fp-tree construction**](https://blog.knoldus.com/machinex-understanding-fp-tree-construction/)

**APRIORI** 

1. [**Apyori tut**](https://stackabuse.com/association-rule-mining-via-apriori-algorithm-in-python/) [**git**](https://github.com/ymoch/apyori)
2. [**Efficient apriori**](https://github.com/tommyod/Efficient-Apriori)
3. [**One of the best known association rules algorithm**](https://machinelearningmastery.com/market-basket-analysis-with-association-rule-learning/) **- apriori in weka**
4. [**A very good visual example of a transaction DB with the apriori algorithm step by step**](http://www.lessons2all.com/Apriori.php)
5. [**Python 3.0 code**](http://adataanalyst.com/machine-learning/apriori-algorithm-python-3-0/)
6. [**Mlxtnd**](http://rasbt.github.io/mlxtend/api_subpackages/mlxtend.frequent_patterns/) [**tutorial**](https://www.geeksforgeeks.org/implementing-apriori-algorithm-in-python/)
   1. **Apriori**
   2. **Rules**
   3. **pgrowth**
   4. **fpmax**

**FP Growth**

1. [**How to construct the fp-tree**](https://www.youtube.com/watch?v=gq6nKbye648)
2. **The same example, but with a graph that shows that lower support cost less for fp-growth in terms of calc time.**
3. [**Coursera video**](https://www.coursera.org/learn/data-patterns/lecture/ugqCs/2-5-fpgrowth-a-pattern-growth-approach)
4. **Another clip video**
5. [**How to validate these algorithms**](https://stackoverflow.com/questions/32843093/how-to-validate-association-rules) **- probably the best way is confidence/support/lift**

**It depends on your task. But usually you want all** [**three to be high.**](https://stats.stackexchange.com/questions/229523/association-rules-support-confidence-and-lift)

* **high support: should apply to a large amount of cases**
* **high confidence: should be correct often**
* **high lift: indicates it is not just a coincidence**

1. [**Difference between apriori and fp-growth**](https://www.quora.com/What-is-the-difference-between-FPgrowth-and-Apriori-algorithms-in-terms-of-results)


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