Project Purpose
This web application demonstrates Market Basket Analysis using Association Rule Mining. It stores shopping transactions, finds frequent itemsets using a simplified Apriori approach, and generates association rules using support and confidence.
Insert a New Transaction
Example: milk, bread, eggs

Analyze Existing Data
Default Parameters
You can adjust thresholds on the analysis page.
Min support: 0.20
Min confidence: 0.60
Transactions
9
#9 2025-12-22 16:20:04.330598
4 items
bread butter diapers milk
#8 2025-12-22 16:20:03.970126
3 items
beer chips diapers
#7 2025-12-22 16:20:03.675489
4 items
beer bread diapers milk
#6 2025-12-22 16:20:03.275908
2 items
beer bread
#5 2025-12-22 16:20:02.94813
3 items
bread butter milk
#4 2025-12-22 16:20:02.671508
2 items
beer chips
#3 2025-12-22 16:20:02.363658
2 items
bread butter
#2 2025-12-22 16:20:02.090646
2 items
bread milk
#1 2025-12-22 16:20:01.734115
3 items
bread eggs milk