Outreach

MUSED

Outreach

Refereed Publications

Refereed Publications

  1. Q. H. Duong, H. Ramampiaro, and K. Nørvåg, (2020), "Multiple Dense Subtensor Estimation with High Density Guarantee". In Proceedings of 36th IEEE International Conference on Data Engineering (ICDE 2020). IEEE. (In press)
  2. Q. H. Duong, H. Ramampiaro, and K. Nørvåg, (2019), "Sketching Streaming Histogram Elements using Multiple Weighted Factors". In Proceedings of The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), pp. 19-28. ACM Press.
  3. Y. Djenouri, J. C. Lin, K. Nørvåg, and H. Ramampiaro, (2019), "Highly Efficient Pattern Mining Based on Transaction Decomposition". In Proceedings of 35th IEEE International Conference on Data Engineering (ICDE 2019), pp. 1646-1649. IEEE. 
  4. Ö. Özdikis, H. Ramampiaro and K. Nørvåg, (2019), "Locality-Adapted Kernel Densities of Term Co-occurrences for Location Prediction of Tweets". In Information Processing & Management Journal (IPM), 56(4), pp. 1280-1299. Elsevier. ISSN: 0306-4573. Impact Factor: 3.444.
  5. T. L. Dam, H. Ramampiaro, K. Nørvåg, and Q. H. Duong, (2018), "Towards Efficiently Mining Closed High Utility Itemsets from Incremental Databases". In Knowledge-Based Systems, 165, pp. 13-29. Elsevier. ISSN: 0950-7051. Impact Factor: 4.396.
  6. Q. H. Duong, H. Ramampiaro, and K. Nørvåg, (2018), "Applying Temporal Dependence to Detect Changes in Streaming Data". In Applied Intelligence Journal (APIN),   48(12), pp 4805-4823. Springer. (Online).
  7. B Agarwal, H. Ramampiaro, H Langseth, M Ruocco, (2018), "A Deep Network Model for Paraphrase Detection in Short Text Messages". In Information Processing & Management Journal (IPM), 54(6), pp. 922-937. Elsevier. ISSN: 0306-4573.
  8. W. Alkowaileet, S. Alsubaiee, M. J. Carey, C. Li, H. Ramampiaro, P. Sinthong, and X. Wang, (2018), "End-to-End Machine Learning with Apache AsterixDB". In Proc. of 2nd ACM SIGMOD Workshop on Data Management for End-to-End Machine Learning (DEEM 2018). ACM Press.
  9. Ö. Özdikis, H. Ramampiaro and K. Nørvåg, (2018), "Locality-adapted Kernel Densities for Tweet Localization". In Proc. of the ACM SIGIR 2018. pp. 1149-1152. ACM Press. 
  10. Ø. Repp and H. Ramampiaro, (2018), "Extracting News Events from Microblogs". In Journal of Statistics and Management Systems, 21(4), pp. 695-723. Taylor & Francis.
  11. Q. H. Duong, H. Ramampiaro, K. Nørvåg, P. Fournier-Viger, and T. L. Dam, (2018). "High Utility Drift Detection in Quantitative Data Streams". Knowledge-Based Systems, 157, pp. 34-51. Elsevier.
  12. Ö. Özdikis, H. Ramampiaro and K. Nørvåg, (2018), "Spatial Statistics of Term Co-occurrences for Location Prediction of Tweets". In Proc. of the European Conference on Information Retrieval (ECIR 2018), pp 494-506. Springer. 
  13. W. Alkowaileet, S. Alsubaiee, M. J. Carey, C. Li, H. Ramampiaro, P. Sinthong, and X. Wang, (2018), "Enhancing Big Data with Semantics: The AsterixDB Approach (Poster)". In 12th IEEE International Conference on Semantic Computing (ICSC 2018). IEEE Computer Society.
  14. Q. H. Duong, P. Fournier-Viger, H. Ramampiaro, K. Nørvåg and T. L. Dam, (2017), "Efficient High Utility Itemset Mining using Buffered Utility-Lists". In Applied Intelligence Journal (APIN). 48(7), pp. 1859-1877. Springer.

Contact

Contact

Professor Heri Ramampiaro
Project Leader

Heri Ramampiaro