8 Result(s)
within
English
Computer Science
Manufacturing, Machines, Tools, Processes
Chun**ao Wei
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Article
Open AccessDynamic maintenance model for high average-utility pattern mining with deletion operation
The high average-utility itemset mining (HAUIM) was established to provide a fair measure instead of genetic high-utility itemset mining (HUIM) for revealing the satisfied and interesting patterns. In practica...
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Article
Open AccessAn edge-driven multi-agent optimization model for infectious disease detection
This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity emb...
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Article
Open AccessAnalytics of high average-utility patterns in the industrial internet of things
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-uti...
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Article
Open AccessPortfolio management system in equity market neutral using reinforcement learning
Portfolio management involves position sizing and resource allocation. Traditional and generic portfolio strategies require forecasting of future stock prices as model inputs, which is not a trivial task since...
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Article
Open AccessCluster-based information retrieval using pattern mining
This paper addresses the problem of responding to user queries by fetching the most relevant object from a clustered set of objects. It addresses the common drawbacks of cluster-based approaches and targets fa...
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Article
Open AccessIncrementally updating the high average-utility patterns with pre-large concept
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...
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Article
Open AccessA recurrent neural network for urban long-term traffic flow forecasting
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...
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Article
Open AccessA general-purpose distributed pattern mining system
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 existi...
