29 Result(s)
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Article
Vincent S. Tseng
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Editorial for the special issue of service computing and service oriented enterprise systems in design, manufacturing and supply chain
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Open AccessFinding Pareto-front Membership Functions in Fuzzy Data Mining
Transactions with quantitative values are commonly seen in real-world applications. Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases. In fuzz...
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Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering
Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most of the previous approaches set a single minimum support threshold for al...
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Mining fastest path from trajectories with multiple destinations in road networks
Nowadays, research on Intelligent Transportation System (ITS) has received many attentions due to its broad applications, such as path planning, which has become a common activity in our daily life. Besides, w...
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Hybrid data mining approaches for prevention of drug dispensing errors
Prevention of drug dispensing errors is an importance topic in medical care. In this paper, we propose a risk management approach, namely Hybrid Data Mining (HDM), to prevent the problem of drug dispensing errors...
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Open AccessTranscriptional activation of the Axl and PDGFR-α by c-Met through a ras- and Src-independent mechanism in human bladder cancer
A cross-talk between different receptor tyrosine kinases (RTKs) plays an important role in the pathogenesis of human cancers.
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Efficient mining of multilevel gene association rules from microarray and gene ontology
Some recent studies have shown that association rules can reveal the interactions between genes that might not have been revealed using traditional analysis methods like clustering. However, the existing studi...
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A genetic-fuzzy mining approach for items with multiple minimum supports
Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Mining association rules from transaction data is most commonly seen among th...
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Prediction of user navigation patterns by mining the temporal web usage evolution
Advances in the data mining technologies have enabled the intelligent Web abilities in various applications by utilizing the hidden user behavior patterns discovered from the Web logs. Intelligent methods for ...
