A Case Study for Massive Text Mining: K Nearest Neighbor Algorithm on PubMed data

@inproceedings{Do2015ACS,
  title={A Case Study for Massive Text Mining: K Nearest Neighbor Algorithm on PubMed data},
  author={Nhan Do and Murat Dundar},
  year={2015}
}
US National Library of Medicine (NLM) has a huge collections of millions of books, journals, and other publications relating to medical domain. NLM creates the database called MEDLINE to store and link the citations to the publications. This database allows the researchers and students to access and find medical articles easily. The public can search on MEDLINE using a database called PubMed. When the new PubMed documents become available online, the curators have to manually decide the labels… CONTINUE READING