| Rise and fall patterns of information diffusion: model and implications Y Matsubara, Y Sakurai, BA Prakash, L Li, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 429 | 2012 |
| Autoplait: Automatic mining of co-evolving time sequences Y Matsubara, Y Sakurai, C Faloutsos Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 195 | 2014 |
| Fast mining and forecasting of complex time-stamped events Y Matsubara, Y Sakurai, C Faloutsos, T Iwata, M Yoshikawa Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 151 | 2012 |
| FUNNEL: automatic mining of spatially coevolving epidemics Y Matsubara, Y Sakurai, WG Van Panhuis, C Faloutsos Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 141 | 2014 |
| The web as a jungle: Non-linear dynamical systems for co-evolving online activities Y Matsubara, Y Sakurai, C Faloutsos Proceedings of the 24th international conference on world wide web, 721-731, 2015 | 78 | 2015 |
| Mining and forecasting of big time-series data Y Sakurai, Y Matsubara, C Faloutsos Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 71 | 2015 |
| Regime shifts in streams: Real-time forecasting of co-evolving time sequences Y Matsubara, Y Sakurai Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 57 | 2016 |
| Non-linear mining of competing local activities Y Matsubara, Y Sakurai, C Faloutsos Proceedings of the 25th International Conference on World Wide Web, 737-747, 2016 | 35 | 2016 |
| Dynamic modeling and forecasting of time-evolving data streams Y Matsubara, Y Sakurai Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 32 | 2019 |
| F-trail: Finding patterns in taxi trajectories Y Matsubara, L Li, E Papalexakis, D Lo, Y Sakurai, C Faloutsos Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013 | 32 | 2013 |
| Fast and exact monitoring of co-evolving data streams Y Matsubara, Y Sakurai, N Ueda, M Yoshikawa 2014 IEEE International Conference on Data Mining, 390-399, 2014 | 31 | 2014 |
| Revisit behavior in social media: The phoenix-r model and discoveries F Figueiredo, JM Almeida, Y Matsubara, B Ribeiro, C Faloutsos Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 26 | 2014 |
| Nonlinear dynamics of information diffusion in social networks Y Matsubara, Y Sakurai, BA Prakash, L Li, C Faloutsos ACM Transactions on the Web (TWEB) 11 (2), 1-40, 2017 | 21 | 2017 |
| Scalable algorithms for distribution search Y Matsubara, Y Sakurai, M Yoshikawa 2009 Ninth IEEE International Conference on Data Mining, 347-356, 2009 | 20 | 2009 |
| Mining big time-series data on the web Y Sakurai, Y Matsubara, C Faloutsos Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 19 | 2016 |
| Automatic sequential pattern mining in data streams K Kawabata, Y Matsubara, Y Sakurai Proceedings of the 28th ACM International Conference on Information and …, 2019 | 14 | 2019 |
| Multi-aspect mining of complex sensor sequences T Honda, Y Matsubara, R Neyama, M Abe, Y Sakurai 2019 IEEE International Conference on Data Mining (ICDM), 299-308, 2019 | 13 | 2019 |
| Non-Linear Mining of Social Activities in Tensor Streams K Kawabata, Y Matsubara, T Honda, Y Sakurai Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 11 | 2020 |
| Fast mining and forecasting of co-evolving epidemiological data streams T Kimura, Y Matsubara, K Kawabata, Y Sakurai Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| D-Search: an efficient and exact search algorithm for large distribution sets Y Matsubara, Y Sakurai, M Yoshikawa Knowledge and information systems 29, 131-157, 2011 | 8 | 2011 |
Yasushi SakuraiThe Institute of Scientific and Industrial Research,Osaka UniversityEmail verificata su sanken.osaka-u.ac.jp