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    Big Data Mining in the Presence of Concept Drifting 

    Siraj, Tabassum; Jannat, Efrana; Rasul, Warafta; Chowdhury, Meher Afroz (2019-03-05)
    Concept drift in big data mining is an absolute, highly demanding research issue in this digital era. A concept in "concept drift" involved in the field of data mining (DM) and machine learning (ML) studies is referred ...
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    Correlation Based Feature Selection with Clustering for Multi-Class Classification Tasks 

    Alam, Tanvir; Mahfuz, Moumita; Akter, Papiya (2019-05-20)
    In recent times high dimensional data is increasing rapidly. Reduce the dimensionality has become popular by feature selection process. So many scientists prefer to use correlation base feature selection method for grouping ...
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    Machine Learning for Mining Big Data: A Review 

    Masroor Fattah Bin, Hossain; Abdur Rahman, Mamun; Monika Akter, Mishu (2018-11-20)
    Development of Big Data is virtually transforming our lifestyle. It is also ac- celerating industrial growth through process optimization, insight discovery and improved decision making. The massive scale of big data exceeds ...
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    A Feature Group Weighting Method for Classifying High-Dimensional Big Data 

    Sarker, Shakila (2019-11-25)
    Features hold the distinctive characteristics and intrinsic values of data. But it's of no use if the important information and pattern can not be extracted from the data coming from disparate sources and applications. ...

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    AuthorAbdur Rahman, Mamun (1)Akter, Papiya (1)Alam, Tanvir (1)Chowdhury, Meher Afroz (1)Jannat, Efrana (1)Mahfuz, Moumita (1)Masroor Fattah Bin, Hossain (1)Monika Akter, Mishu (1)Rasul, Warafta (1)Sarker, Shakila (1)... View MoreSubject
    Data Mining (4)
    Machine Learning (4)
    Big Data (2)Concept Drift (1)Feature Selection (1)Feature Weighting (1)Novel Class Instance (1)... View MoreDate Issued2019 (3)2018 (1)

    Copyright 2003-2017 United International University
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    Developed by UIU CITS