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    Machine Learning for Mining Big Data: A Review 

    Hossain, Masroor Fattah Bin; Mamun, Abdur Rahman; Mishu, Monika Akter (2018-11-24)
    Development of Big Data is virtually transforming our lifestyle. It is also accelerating industrial growth through process optimization, insight discovery and improved decision making. The massive scale of big data exceeds ...
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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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    Scalable Decision Tree Induction For Mining Big Data 

    Sabah, Shabnam; Anwar, Sara Zumerrah Binte; Afroze, Sadia; Sarker, Snigdha (2019-05-22)
    Big data mining is one of the major challenging research issues in the field of machine learning for data mining applications in this present digital era. Big data consists of 3V's: (1) volume - massive amount of data/ ...
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    Active Learning with Clustering for Mining Big Data 

    Ibrahim, Md.; Masud, Salman; Rabby, Reza E (2019-05-28)
    Big data mining is become a key research issue nowadays. It's costly and also time-consuming to extract knowledge from big data. Big data is so big, it contains millions of data points that's why it's very difficult to ...
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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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    Active Learning for Mining Big Data 

    Jahan, Sadia (2019-09-22)
    Active learning also known as an optimal experimental design, is a process for building a classifier or learning model with less number of training instances in the semi-supervised setting. It's a well-known approach ...

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    AuthorAbdur Rahman, Mamun (1)Afroze, Sadia (1)Anwar, Sara Zumerrah Binte (1)Chowdhury, Meher Afroz (1)Hossain, Masroor Fattah Bin (1)Ibrahim, Md. (1)Jahan, Sadia (1)Jannat, Efrana (1)Mamun, Abdur Rahman (1)Masroor Fattah Bin, Hossain (1)... View MoreSubject
    Big Data (6)
    Machine Learning (4)Data Mining (3)Active Learning (2)Clustering (1)Concept Drift (1)Data mining (1)Novel Class Instance (1)Scalable Decision Tree (1)... View MoreDate Issued2019 (4)2018 (2)

    Copyright 2003-2017 United International University
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    Developed by UIU CITS