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Search: "[ keyword: Data Mining ]" (77)
    Protein-Protein Interaction Reliability Enhancement System based on Feature Selection and Classification Technique
    Min Su Lee , Seung Soo Park , Sang Ho Lee , Hwan Seung Yong , Sung Hee Kang The KIPS Transactions:PartB , Vol. 13, No. 7, pp. 679-688, Dec. 2006
    10.3745/KIPSTB.2006.13.7.679


    Adaptive Data Mining Model using Fuzzy Performance Measures
    Hyun Sook Rhee The KIPS Transactions:PartB , Vol. 13, No. 5, pp. 541-546, Oct. 2006
    10.3745/KIPSTB.2006.13.5.541


    Reinforcement Method for Automated Text Classification using Post-processing and Training with Definition Criteria
    Yun Jeong Choi , Seung Soo Park The KIPS Transactions:PartB , Vol. 12, No. 7, pp. 811-822, Dec. 2005
    10.3745/KIPSTB.2005.12.7.811


    Incremental Generation of A Decision Tree Using Global Discretization For Large Data
    Kyong Sik Han , Soo Won Lee The KIPS Transactions:PartB , Vol. 12, No. 4, pp. 487-498, Aug. 2005
    10.3745/KIPSTB.2005.12.4.487


    Learning Multidimensional Sequential Patterns Using Hellinger Entropy Function
    Chang Hwan Lee The KIPS Transactions:PartB , Vol. 11, No. 4, pp. 477-484, Aug. 2004
    10.3745/KIPSTB.2004.11.4.477


    An Improved Rectangular Decomposition Algorithm for Data Mining
    Ji Young Song , Young Hee Im , Dai Hee Park The KIPS Transactions:PartB , Vol. 10, No. 3, pp. 265-272, Jun. 2003
    10.3745/KIPSTB.2003.10.3.265


    A Hybrid Clustering Technique for Processing Large Data
    Man Sun Kim , Sang Yong Lee The KIPS Transactions:PartB , Vol. 10, No. 1, pp. 33-40, Feb. 2003
    10.3745/KIPSTB.2003.10.1.33


    An Efficient Knowledge Base Management Using Hybrid SOM
    Kyung Bae Yoon , Jun Hyeog Choi , Chang Jong Wang The KIPS Transactions:PartB , Vol. 9, No. 5, pp. 635-642, Oct. 2002
    10.3745/KIPSTB.2002.9.5.635


    An Energy Consumption Prediction Model for Smart Factory Using Data Mining Algorithms
    Sathishkumar V E, Myeongbae Lee, Jonghyun Lim, Yubin Kim, Changsun Shin, Jangwoo Park, Yongyun Cho KIPS Transactions on Software and Data Engineering, Vol. 9, No. 5, pp. 153-160, May. 2020
    https://doi.org/10.3745/KTSDE.2020.9.5.153  
    Keywords: energy consumption, Data Mining, Random Forest, linear regression, Gradient Boosting Machine, Support Vector Machine


    A Technique for Detecting Companion Groups from Trajectory Data Streams
    Suhyun Kang, Ki Yong Lee KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 473-482, Dec. 2019
    10.3745/KTSDE.2019.8.12.473  
    Keywords: Trajectory Data Stream, Companion Groups Detection, Stream Data Mining


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