Tahrima Hashem
Tahrima Hashem
PhD Student, School of Computing and Information Systems, University of Melbourne
Email verificata su student.unimelb.edu.au - Home page
Citata da
Citata da
Group trip planning queries in spatial databases
T Hashem, T Hashem, ME Ali, L Kulik
International Symposium on Spatial and Temporal Databases, 259-276, 2013
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
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
Trip planning queries for subgroups in spatial databases
T Hashem, T Hashem, ME Ali, L Kulik, E Tanin
Australasian Database Conference, 110-122, 2016
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, 101833, 2020
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis
T Hashem, L Rashidi, J Bailey, L Kulik
International Conference on Similarity Search and Applications, 247-264, 2019
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–6