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Optimized-Memory Map-Reduce Algorithm for Mobile Learning

  • Mamo M. Husain
  • Hamid A. JalabEmail author
  • Vala Ali Rohani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9429)

Abstract

The increasing accessibility of mobile technologies and devices, such as smartphones and tablet PCs, has made mobile learning (m-learning) a critical feature of modern didactics. Mobile learning is among the many computerized activities that can be performed using mobile devices. As the volume of accessible important information on university websites continues to increase, students may face difficulties in accessing important information from a large dataset. This study introduces an algorithmic framework for data reduction that is built on optimized-memory map–reduce algorithm for mobile learning. The goal of this method is to generate meaningful recommendations to a collection of students in the easiest and fastest way by using a recommender system. Through an experiment, the proposed method has demonstrated significant improvements in data size reduction up to 77 %. Such improvements are greater than those that are achieved using alternate methods.

Keywords

Data reduction Mapreduce technique Mobile learning Content based recommendation 

Notes

Acknowledgments

The study is supported by Project No.: RG312-14AFR from University of Malaya.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Mamo M. Husain
    • 1
  • Hamid A. Jalab
    • 1
    Email author
  • Vala Ali Rohani
    • 1
  1. 1.Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia

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