@inproceedings{277a9f924423473f88dcfab0c7068cb3,
title = "Text mining for educational literature on big data with hadoop",
abstract = "With the development of the information era, the application of big data technology in education has become more and more extensive. This article adopts the Hadoop platform to conduct parallel mining of educational literature on big data. The paper has analyzed the main function of text mining technology, combined Canopy and K-Means algorithm to analyze and research the educational big data literature, learned about the application of big data technology in the field of education in order to provide its services for the construction of 'World-class universities and first-class disciplines' and make a contribution to the development of education.",
keywords = "'World-class universities and first-class discipline', Big Data, Canopy, Education, Hadoop, K-means, Text mining",
author = "Haoge Wang and Quanyu Wang and Wenming Wang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd IEEE International Conference on Smart Cloud, SmartCloud 2018 ; Conference date: 21-09-2018 Through 23-09-2018",
year = "2018",
month = oct,
day = "26",
doi = "10.1109/SmartCloud.2018.00035",
language = "English",
series = "Proceedings - 3rd IEEE International Conference on Smart Cloud, SmartCloud 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "166--170",
booktitle = "Proceedings - 3rd IEEE International Conference on Smart Cloud, SmartCloud 2018",
address = "United States",
}