40 citations · 62 across the 2 of their papers we have counts for
2 papers
cs.DS2019★ 40 cited
Summarizing Data Succinctly with the Most Informative Itemsets
Michael Mampaey, Jilles Vreeken, Nikolaj Tatti
Knowledge discovery from data is an inherently iterative process. That is, what we know about the data greatly determines our expectations, and therefore, what results we would fin…
cs.LG2019★ 22 cited
Using Background Knowledge to Rank Itemsets
Nikolaj Tatti, Michael Mampaey
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc…