Yongluan Zhou

Yongluan Zhou

Professor


  1. 2009
  2. Scalable delivery of stream query results

    Zhou, Yongluan, Salehi, A. & Aberer, K., 2009, VLDB ‘09. Jagadish, H. V. (ed.). VLDB Endowment, p. 49-60 12 p. (Proceedings of the VLDB Endowment; No. 1, Vol. 2).

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

  3. Towards integrated and efficient scientific sensor data processing: a database approach

    Wu, J., Zhou, Yongluan, Aberer, K. & Tan, K., 2009, Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology. Association for Computing Machinery, p. 922-933 12 p.

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

  4. Data-driven memory management for stream join

    Wu, J., Tan, K. & Zhou, Yongluan, 1 Jun 2009, In: Information Systems. 34, 4-5, p. 454-467 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. 2010
  6. Attribute outlier detection over data streams

    Cao, H., Zhou, Yongluan, Shou, L. & Chen, G., 2010, Database Systems for Advanced Applications: 15th International Conference, DASFAA 2010, Tsukuba, Japan, April 1-4, 2010, Proceedings, Part II. Kitagawa, H., Ishikawa, Y., Li, Q. & Watanabe, C. (eds.). Springer, p. 216-230 15 p. (Lecture notes in computer science, Vol. 5982).

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

  7. Continuous skyline monitoring over distributed data streams

    Lu, H., Zhou, Yongluan & Haustad, J., 2010, Scientific and Statistical Database Management: 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30–July 2, 2010. Proceedings. Gertz, M. & Ludäscher, B. (eds.). Springer, p. 565-583 19 p. (Lecture notes in computer science, Vol. 6187).

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

  8. 2011
  9. 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

  10. 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

  11. 2012
  12. 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

  13. 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

  14. 2013
  15. 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

ID: 178773533