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Volumn , Issue , 2013, Pages 155-164

Interpreting data mining results with linked data for learning analytics: Motivation, case study and directions

Author keywords

course enrolment; data mining; interpretation; leaning analytics; linked data; sequence mining

Indexed keywords

COURSE ENROLMENT; INTERPRETATION; LEANING ANALYTICS; LINKED DATUM; SEQUENCE MINING;

EID: 84876493670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2460296.2460327     Document Type: Conference Paper
Times cited : (25)

References (19)
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  • 2
    • 38049040239 scopus 로고    scopus 로고
    • Using concept lattices for text retrieval and mining
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    • (2005) Lecture Notes in Computer Science , vol.3626 , pp. 161-179
    • Carpineto, C.1    Romano, G.2
  • 3
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    • M. d'Aquin. Linked Data for Open and Distance Learning. Commonwealth of Learning report - Available from http://www.col.org/resources/ publications/Pages/detail.aspx?PID=420, 2012.
    • (2012) Commonwealth of Learning Report
    • D'Aquin, M.1
  • 7
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  • 16
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  • 17
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    • Why can concept lattices support knowledge discovery in databases?
    • DOI 10.1080/09528130210164161
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    • Wille, R.1
  • 18
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    • Avaliable online from last accessed 2012-08-02
    • World Wide Web Consortium. SPARQL Query Language for RDF. Avaliable online from http://www.w3.org/TR/rdf-sparql-query/; last accessed 2012-08-02, 2008.
    • (2008) SPARQL Query Language for RDF


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.