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  1. No Access

    Article

    Efficiently mining uncertain high-utility itemsets

    Data mining consists of deriving implicit, potentially meaningful and useful knowledge from databases such as information about the most profitable items. High-utility itemset mining (HUIM) has thus emerged as...

    Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong… in Soft Computing (2017)

  2. No Access

    Article

    Time series pattern discovery by a PIP-based evolutionary approach

    Time series are an important and interesting research field due to their many different applications. In our previous work, we proposed a time-series segmentation approach by combining a clustering technique, ...

    Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong in Soft Computing (2013)

  3. Article

    Open Access

    Finding 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...

    Chun-Hao Chen, Tzung-Pei Hong… in International Journal of Computational Int… (2012)

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  4. No Access

    Article

    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...

    Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng in Soft Computing (2011)

  5. No Access

    Article

    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...

    Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee in Soft Computing (2009)

  6. No Access

    Article

    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 ...

    Vincent S. Tseng, Kawuu Weicheng Lin, Jeng-Chuan Chang in Soft Computing (2008)