Computational Complexity of Queries Based on Itemsets

Nikolaj Tatti

doi:10.1016/j.ipl.2006.02.003

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arXiv · 1902.00633

Computational Complexity of Queries Based on Itemsets

Nikolaj Tatti

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Abstract

We investigate determining the exact bounds of the frequencies of conjunctions based on frequent sets. Our scenario is an important special case of some general probabilistic logic problems that are known to be intractable. We show that despite the limitations our problems are also intractable, namely, we show that checking whether the maximal consistent frequency of a query is larger than a given threshold is NP-complete and that evaluating the Maximum Entropy estimate of a query is PP-hard. We also prove that checking consistency is NP-complete.

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BibTeX RIS

Nikolaj Tatti. 2019-02-02. Computational Complexity of Queries Based on Itemsets. https://doi.org/10.1016/j.ipl.2006.02.003

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