This paper considers the problem of mining probabilistic frequent itemsets in the sliding window of an uncertain data stream.

Dec 1, 2018 · This paper considers the problem of mining probabilistic frequent itemsets in the sliding window of an uncertain data stream.

In this paper, we introduce new probabilistic formulations of frequent itemsets based on possible world semantics.

We propose the algorithm based on probabilistic frequent item sets mining in uncertain data streams. The algorithm processes one basic sliding window every time ...

In such probabilistic cases, for each group that corresponds to a PoI, we consider that each vertex in has a positive probability of exhibiting this PoI, while ...

This paper considers the problem of mining probabilistic frequent itemsets in the sliding window of an uncertain data stream.

Oct 21, 2012 · The frequent itemsets discovered from uncertain data are naturally probabilistic, in order to reflect the confidence placed on the mining ...

Jul 1, 2009 · In this paper, we introduce new prob- abilistic formulations of frequent itemsets based on possible world semantics. In this probabilistic ...

This paper proposes tree-based algorithms that use the damped window model to mine frequent itemsets from streams of uncertain data.

In this paper, we tackle the problem of finding probabilistic frequent itemsets based on possible world semantics. In this context, an itemset X is called.