Now showing items 1-6 of 6

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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/ ...