@inproceedings{
 title = {Parallel and quantitative sequential pattern mining for large-scale interval-based temporal data},
 type = {inproceedings},
 year = {2014},
 pages = {32-39},
 publisher = {IEEE},
 id = {9efac1ce-0f2d-3d7f-9fc5-d6035616b4a1},
 created = {2019-10-01T17:20:47.853Z},
 file_attached = {false},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 last_modified = {2019-10-01T17:23:37.161Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Ruan2014},
 source_type = {CONF},
 folder_uuids = {73f994b4-a3be-4035-a6dd-3802077ce863},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {Ruan, Guangchen and Zhang, Hui and Plale, Beth},
 booktitle = {Big Data (Big Data), 2014 IEEE International Conference on}
}