GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series

GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series. Song, H. A., Yang, F., Liu, Z., Panhuis, W. V., Sidiropoulos, N. D., Faloutsos, C., & Zadorozhny, V. In Gottumukkala, R., Ning, X., Dong, G., Raghavan, V., Aluru, S., Karypis, G., Miele, L., & Wu, X., editors, 2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017, pages 494–501, 2017. IEEE Computer Society.

Paper doi bibtex

@inproceedings{DBLP:conf/icdm/SongYLPSFZ17,
  author       = {Hyun Ah Song and
                  Fan Yang and
                  Zongge Liu and
                  Wilbert Van Panhuis and
                  Nicholas D. Sidiropoulos and
                  Christos Faloutsos and
                  Vladimir Zadorozhny},
  editor       = {Raju Gottumukkala and
                  Xia Ning and
                  Guozhu Dong and
                  Vijay Raghavan and
                  Srinivas Aluru and
                  George Karypis and
                  Lucio Miele and
                  Xindong Wu},
  title        = {{GB-R:} {A} Fast and Effective Gray-Box Reconstruction of Cascade
                  Time-Series},
  booktitle    = {2017 {IEEE} International Conference on Data Mining Workshops, {ICDM}
                  Workshops 2017, New Orleans, LA, USA, November 18-21, 2017},
  pages        = {494--501},
  publisher    = {{IEEE} Computer Society},
  year         = {2017},
  url          = {https://doi.org/10.1109/ICDMW.2017.70},
  doi          = {10.1109/ICDMW.2017.70},
  timestamp    = {Fri, 24 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/icdm/SongYLPSFZ17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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