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Mining Periodic Patterns from Non-binary Transactions
2018
Journal of Intelligent Computing
Pattern with time period is more valuable because it can better describe objective knowledge. Previous studies on periodic patterns from market basket data focus on patterns without considering the items with their purchased quantities. But in real-life transactions, an item could be purchased multiple times in a transaction and different items may have different quantity in the transactions. To solve this problem, we incorporate the concept of transaction frequency (TF) and database frequency
doi:10.6025/jic/2018/9/4/144-156
fatcat:b3kafkyvjrbd5htwj2t54g55rm