Education data mining: Mining MOOCs videos using metadata based approach
| Autor: | El Harrak Othman, El Bouhdidi Jaber, Slimani Abdelali |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Information retrieval
Computer science Data stream mining 05 social sciences 050301 education Concept mining 02 engineering and technology computer.software_genre Educational data mining Metadata ComputingMethodologies_PATTERNRECOGNITION Knowledge extraction Web mining 0202 electrical engineering electronic engineering information engineering Software mining 020201 artificial intelligence & image processing Data mining Cluster analysis 0503 education computer |
| Zdroj: | CIST |
| DOI: | 10.1109/cist.2016.7805106 |
| Popis: | Due to the growing interest in data mining and the educational system, educational data mining is the emerging topic for research community. The various techniques of data mining like classification and clustering can be applied to bring out hidden knowledge from the educational data. Web video mining is retrieving the content using data mining techniques from World Wide Web. There are two approaches for web video mining using traditional image processing (signal processing) and metadata based approach. In this paper, we focus on the education data mining and precisely MOOCs which constitute a new modality of e-learning and clustering techniques. We present a methodology that can be used for mining Moocs videos using metadata as leading contribution for knowledge discovery. |
| Databáze: | OpenAIRE |
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