MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable. Nagrecha, S., Dillon, J. Z., & Chawla, N. V. In Barrett, R., Cummings, R., Agichtein, E., & Gabrilovich, E., editors, WWW (Companion Volume), pages 351-359, 2017. ACM.
MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable. [link]Link  MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable. [link]Paper  bibtex   
@inproceedings{conf/www/NagrechaDC17,
  added-at = {2017-04-18T00:00:00.000+0200},
  author = {Nagrecha, Saurabh and Dillon, John Z. and Chawla, Nitesh V.},
  biburl = {http://www.bibsonomy.org/bibtex/21c2b3e7832cb9337fa34b043d457bad8/dblp},
  booktitle = {WWW (Companion Volume)},
  crossref = {conf/www/2017c},
  editor = {Barrett, Rick and Cummings, Rick and Agichtein, Eugene and Gabrilovich, Evgeniy},
  ee = {http://doi.acm.org/10.1145/3041021.3054162},
  interhash = {95a9222bc4351f4e2f8fbed848a90aa0},
  intrahash = {1c2b3e7832cb9337fa34b043d457bad8},
  isbn = {978-1-4503-4914-7},
  keywords = {dblp},
  pages = {351-359},
  publisher = {ACM},
  timestamp = {2017-04-19T11:48:00.000+0200},
  title = {MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable.},
  url = {http://dblp.uni-trier.de/db/conf/www/www2017c.html#NagrechaDC17},
  year = 2017
}
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