Browsing-pattern mining from e-book logs with non-negative matrix factorization

Atsushi Shimada, Fumiya Okubo, Hiroaki Ogata

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

In this paper, we report our work-in-progress study about browsing-pattern mining from e-Book logs based on non-negative matrix factorization (NMF). We applied NMF to an observation matrix with 21-page browsing logs of 110 students, and discovered five kinds of browsing patterns.

Original languageEnglish
Pages636-637
Number of pages2
Publication statusPublished - Jan 1 2016
Event9th International Conference on Educational Data Mining, EDM 2016 - Raleigh, United States
Duration: Jun 29 2016Jul 2 2016

Conference

Conference9th International Conference on Educational Data Mining, EDM 2016
CountryUnited States
CityRaleigh
Period6/29/167/2/16

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

Cite this

Shimada, A., Okubo, F., & Ogata, H. (2016). Browsing-pattern mining from e-book logs with non-negative matrix factorization. 636-637. Paper presented at 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, United States.