Results 241 to 250 of about 1,227,725 (294)

On efficiently mining high utility sequential patterns

Knowledge and Information Systems, 2016
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward closure property in this problem, most existing algorithms first generate candidate sequences with ...
Jun-Zhe Wang   +2 more
openaire   +3 more sources

High-utility pattern mining: A method for discovery of high-utility item sets

Pattern Recognition, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Jianying, Mojsilovic, Aleksandra
openaire   +2 more sources

Mining high fuzzy utility sequential patterns

2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2013
This work handles fuzzy utility sequential pattern mining, which applies the fuzzy set concept to find interesting high utility sequential patterns with linguistic meaning. In particular, a new fuzzy utility function is developed to evaluate the linguistic benefit of a pattern in a sequence, and an effective approach is developed to find high fuzzy ...
Guo-Cheng Lan   +3 more
openaire   +1 more source

High Utility Partial Periodic Pattern Mining

Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017
In this paper, we study the properties of partial periodic pattern mining and extend the original problem to high-utility partial periodic pattern mining (HUPPP), which considers not only the occurring time order and periodic length of events but also the quantities and individual profits of the events.
Tzung-Pei Hong   +5 more
openaire   +1 more source

ProUM: High Utility Sequential Pattern Mining

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019
In recent decade, utility mining has attracted a great attention, but most of the existing studies are developed to deal with itemset-based data. Different from the itemset-based data, the time-ordered sequence data is more commonly seen in real-world situations.
Wensheng Gan   +5 more
openaire   +1 more source

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