72 citations · 760 across the 54 of their papers we have counts for
5 papers · 2 filters
Mining Closed Strict Episodes
Nikolaj Tatti, Boris Cule
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often…
Mining Closed Episodes with Simultaneous Events
Nikolaj Tatti, Boris Cule
Sequential pattern discovery is a well-studied field in data mining. Episodes are sequential patterns describing events that often occur in the vicinity of each other. Episodes can…
Probably the Best Itemsets
Nikolaj Tatti
One of the main current challenges in itemset mining is to discover a small set of high-quality itemsets. In this paper we propose a new and general approach for measuring the qual…
Comparing Apples and Oranges: Measuring Differences between Exploratory Data Mining Results
Nikolaj Tatti, Jilles Vreeken
Deciding whether the results of two different mining algorithms provide significantly different information is an important, yet understudied, open problem in exploratory data mini…
Finding Robust Itemsets Under Subsampling
Nikolaj Tatti, Fabian Moerchen, Toon Calders
Mining frequent patterns is plagued by the problem of pattern explosion making pattern reduction techniques a key challenge in pattern mining. In this paper we propose a novel theo…