Blar i HVL Open på tidsskrift "Applied intelligence"
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Analytics of high average-utility patterns in the industrial internet of things
(Peer reviewed; Journal article, 2021)Recently, revealing more valuable information except for quantity value for a database is an essential research field. High utility itemset mining (HAUIM) was suggested to reveal useful patterns by average-utility measure ... -
A general-purpose distributed pattern mining system
(Journal article; Peer reviewed, 2020)This paper explores five pattern mining problems and proposes a new distributed framework called DT-DPM: Decomposition Transaction for Distributed Pattern Mining. DT-DPM addresses the limitations of the existing pattern ... -
Incrementally updating the high average-utility patterns with pre-large concept
(Peer reviewed; Journal article, 2020)High-utility itemset mining (HUIM) is considered as an emerging approach to detect the high-utility patterns from databases. Most existing algorithms of HUIM only consider the itemset utility regardless of the length. This ... -
A recurrent neural network for urban long-term traffic flow forecasting
(Journal article; Peer reviewed, 2020)This paper investigates the use of recurrent neural network to predict urban long-term traffic flows. A representation of the long-term flows with related weather and contextual information is first introduced. A recurrent ...