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Volumn , Issue , 2016, Pages 631-637

Mining of learning interaction patterns in MOOCs forums

Author keywords

Algorithm; Data mining; Depth first search Tree based pattern; Forum; Learning Interaction Pattern; MOOCs

Indexed keywords

ALGORITHMS; DATA MINING; EDUCATION; INFORMATION USE; INTERNET; LEARNING ALGORITHMS; TREES (MATHEMATICS);

EID: 84991218059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2016.90     Document Type: Conference Paper
Times cited : (5)

References (13)
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    • 2013 ACM Leuven, Belgium , pp. 185-189
    • Clow, D.1
  • 2
    • 84991203355 scopus 로고    scopus 로고
    • Syntactic and functional variability of a million code submissions in a machine learning mooc
    • Citeseer
    • Huang, J., et al. Syntactic and functional variability of a million code submissions in a machine learning mooc. in AIED 2013 Workshops Proceedings Volume.2013. Citeseer.
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    • Huang, J.1
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    • Perovšek, M., et al., TextFlows: A visual programming platform for text mining and natural language processing. Science of Computer Programming, 2016. 121: p. 128-152.
    • (2016) Science of Computer Programming , vol.121 , pp. 128-152
    • Perovšek, M.1
  • 6
    • 0002169158 scopus 로고
    • Knowledge discovery in databases: An overview
    • Frawley, W.J., G. Piatetsky-Shapiro, and C.J. Matheus, Knowledge discovery in databases: An overview. AI Mag., 1992. 13(3): p. 57-70.
    • (1992) AI Mag , vol.13 , Issue.3 , pp. 57-70
    • Frawley, W.J.1    Piatetsky-Shapiro, G.2    Matheus, C.J.3
  • 8
    • 84859218047 scopus 로고    scopus 로고
    • Feature evaluation for web crawler detection with data mining techniques
    • Stevanovic, D., A. An, and N. Vlajic, Feature evaluation for web crawler detection with data mining techniques. Expert Systems with Applications, 2012. 39(10): p. 8707-8717.
    • (2012) Expert Systems with Applications , vol.39 , Issue.10 , pp. 8707-8717
    • Stevanovic, D.1    An, A.2    Vlajic, N.3
  • 11
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Agrawal, R., et al., Mining association rules between sets of items in large databases. SIGMOD Rec., 1993. 22(2): p. 207-216.
    • (1993) SIGMOD Rec , vol.22 , Issue.2 , pp. 207-216
    • Agrawal, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.