Follow
Tahrima Hashem
Tahrima Hashem
Post-doctoral Research Fellow, University of Melbourne
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
Group trip planning queries in spatial databases
T Hashem, T Hashem, ME Ali, L Kulik
Advances in Spatial and Temporal Databases: 13th International Symposium …, 2013
792013
An efficient approach for mining cross-level closed itemsets and minimal association rules using closed itemset lattices
T Hashem, CF Ahmed, M Samiullah, S Akther, BS Jeong, S Jeon
Expert systems with applications 41 (6), 2914-2938, 2014
262014
An efficient dynamic superset bit-vector approach for mining frequent closed itemsets and their lattice structure
T Hashem, MR Karim, M Samiullah, CF Ahmed
Expert Systems with Applications 67, 252-271, 2017
222017
Machine learning for predicting the outcome of terminal ballistics events
S Ryan, NM Sushma, AK AV, J Berk, T Hashem, S Rana, S Venkatesh
Defence Technology 31, 14-26, 2024
72024
Trip planning queries for subgroups in spatial databases
T Hashem, T Hashem, ME Ali, L Kulik, E Tanin
Databases Theory and Applications: 27th Australasian Database Conference …, 2016
72016
Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Forecast
T Hashem, N Yousefpour
arXiv preprint arXiv:2404.16549, 2024
22024
Characteristics of local intrinsic dimensionality (LID) in subspaces: local neighbourhood analysis
T Hashem, L Rashidi, J Bailey, L Kulik
Similarity Search and Applications: 12th International Conference, SISAP …, 2019
22019
Towards Developing Theoretical Foundations for Personalisation: Local Intrinsic Dimensionality Perspective.
T Hashem
University of Melbourne, Parkville, Victoria, Australia, 2020
2020
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity
T Hashem, L Rashidi, L Kulik, J Bailey
Data & Knowledge Engineering 128, 101833, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–9