MUSED Publications
MUSED
Outreach
Refereed Publications
- 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)
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.