Yongluan Zhou

Yongluan Zhou

Professor


  1. 2014
  2. Sequence pattern matching over event data with temporal uncertainty

    Zhou, Yongluan, Ma, C., Guo, Q., Shou, L. & Chen, G., 2014, Proceedings of the 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014.. Amer-Yahia, S., Christophides, V., Kementsietsidis, A., Garofalakis, M., Idreos, S. & Leroy, V. (eds.). OpenProceedings.org, p. 205-216 12 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  3. 2013
  4. Multi-scale dissemination of time series data

    Guo, Q., Zhou, Yongluan & Su, L., Jul 2013, Proceedings of the 25th International Conference on Scientific and Statistical Database Management. Szalay, A., Budavari, T., Balazinska, M., Meliou, A. & Sacan, A. (eds.). Association for Computing Machinery, 12 p. 14

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Efficient and scalable continuous skyline monitoring in two-tier streaming settings

    Lu, H., Zhou, Yongluan & Haustad, J., 2013, In: Information Systems. 38, 1, p. 68-81 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Demo: elastic mapreduce-style processing of fast data

    Madsen, K. G. S. & Zhou, Yongluan, 2013, DEBS’13: Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems Arlington, TX, USA — June 29 - July 03, 2013. Association for Computing Machinery, p. 335-336 2 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Grand challenge: MapReduce-style processing of fast sensor data

    Madsen, K. G. S., Su, L. & Zhou, Yongluan, 2013, DEBS’13: Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems. Association for Computing Machinery, p. 313-318 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Multi-query scheduling for time-critical data stream applications

    Zhou, Yongluan, Wu, J. & Leghari, A. K., Jul 2013, Proceedings of the 25th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. 2012
  10. On optimizing relational self-joins

    Cao, Y., Zhou, Yongluan, Chan, C. Y. & Tan, K., 2012, Proceedings of the 15th International Conference on Extending Database Technology. New York: Association for Computing Machinery, p. 120-131 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  11. Energy efficiency for MapReduce workloads: an in-depth study

    Feng, B., Lu, J., Zhou, Yongluan & Yang, N., 2012, Proceedings of the Twenty-Third Australasian Database Conference. Zhang, R. & Zhang, Y. (eds.). Australian Computer Society, p. 61-70 10 p. (Conferences in Research and Practice in Information Technology, Vol. 124).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. 2011
  13. Matching query processing in high-dimensional space

    Ma, C., Zhou, Yongluan, Shou, L., Dai, D. & Chen, G., 2011, Proceedings of the 20th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1589-1594 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  14. Dissemination of models over time-varying data

    Zhou, Yongluan, Vagena, Z. & Haustad, J., 2011, Proceedings of the 37th International Conference on Very Large Data Bases, Seattle, WA. Jagadish, H. V., Blakeley, J., Hellerstein, J. M., Koudas, N., Lehner, W., Sarawagi, S. & Röhm, U. (eds.). VLDB Endowment, p. 864-875 (Proceedings of the VLDB Endowment; No. 11, Vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 178773533