UGMINE: utility-based graph mining

MT Alam, A Roy, CF Ahmed, MA Islam, CK Leung - Applied Intelligence, 2023 - Springer
Frequent pattern mining extracts most frequent patterns from databases. These frequency-
based frameworks have limitations in representing users' interest in many cases. In business …

Mining weighted subgraphs in a single large graph

NT Le, B Vo, LBQ Nguyen, H Fujita, B Le - Information Sciences, 2020 - Elsevier
Weighted single large graphs are often used to simulate complex systems, and thus mining
frequent subgraphs in a weighted large graph is an important issue that has attracted the …

Graph theory at the service of electroencephalograms

ND Iakovidou - Brain Connectivity, 2017 - liebertpub.com
The brain is one of the largest and most complex organs in the human body and EEG is a
noninvasive electrophysiological monitoring method that is used to record the electrical …

Top-k interesting subgraph discovery in information networks

M Gupta, J Gao, X Yan, H Cam… - 2014 IEEE 30th …, 2014 - ieeexplore.ieee.org
In the real world, various systems can be modeled using heterogeneous networks which
consist of entities of different types. Many problems on such networks can be mapped to an …

OWGraMi: Efficient method for mining weighted subgraphs in a single graph

NT Le, B Vo, LBQ Nguyen, B Le - Expert Systems with Applications, 2022 - Elsevier
Recently, the problem of mining weighted subgraphs from a weighted single graph has
become a vital issue because weighted graphs are generally used to restore, simulate or …

HUSM: High utility subgraph mining in single graph databases

Z Chen, C He, G Chen, W Gan, P Fournier-Viger - Information Sciences, 2024 - Elsevier
Frequent subgraph mining (FSM) is a crucial research area with diverse applications.
However, traditional FSM treats all subgraphs as equally important. In practical applications …

WFSM-MaxPWS: an efficient approach for mining weighted frequent subgraphs from edge-weighted graph databases

MA Islam, CF Ahmed, CK Leung, CSH Hoi - … VIC, Australia, June 3-6, 2018 …, 2018 - Springer
Weighted frequent subgraph mining comes with an inherent challenge—namely, weighted
support does not support the downward closure property, which is often used in mining …

Mining patterns in graphs with multiple weights

G Preti, M Lissandrini, D Mottin, Y Velegrakis - Distributed and Parallel …, 2021 - Springer
Graph pattern mining aims at identifying structures that appear frequently in large graphs,
under the assumption that frequency signifies importance. In real life, there are many graphs …

Beyond Frequencies: Graph Pattern Mining in Multi-weighted Graphs.

G Preti, M Lissandrini, D Mottin… - Advances in Database …, 2018 - pure.au.dk
Graph pattern mining aims at identifying structures that appear frequently in large graphs,
under the assumption that frequency signies importance. Several measures of frequency …

Mining high utility subgraphs

MT Alam, A Roy, CF Ahmed, MA Islam… - … Conference on Data …, 2021 - ieeexplore.ieee.org
High utility pattern mining discovers more realistic and important knowledge than the
traditional frequent pattern mining by considering non-binary occurrences of items inside …