EFFICIENT IMPLEMENTATIONS OF APRIORI AND ECLAT

By Christian Borgelt. 2003

513 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/50ccef8d4c3003eb23844d65dd4792ae21a11c82

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Gösta Grahne
2. Jianfei Zhu
3. Christian Bienia
4. Kai Li
5. Hong Cheng
6. Zhenmin Li
7. Aaron Ceglar
8. Jiawei Han

Citations in the corpus

• An implementation of the FP-growth algorithm (2005, methodology): “I ran experiments on the same five data sets that I already used in [5, 6], namely BMS-Webview-1 [9], T10I4D100K [11], census, chess, and mushroom [3].”
• Fast algorithms for frequent itemset mining using FP-trees (2005, methodology): “The algorithm Apriori for mining closed frequent itemsets was implemented by Borgelt in [9] for FIMI ’03.”
• Large scale mining and retrieval of visual data in a multimodal context (2008, methodology): “For the mining we use an implementation of the APriori algorithm from [Borgelt, 2003].”