Md. Ashraful Islam

According to our database, Md. Ashraful Islam authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph-based substructure pattern mining with edge-weight.

Md. Ashraful Islam, Chowdhury Farhan Ahmed, Md. Tanvir Alam, Carson Kai-Sang Leung

Appl. Intell., March, 2024

2023

UGMINE: utility-based graph mining.

Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung

Appl. Intell., 2023

2022

Weighted frequent sequential pattern mining.

Md. Ashraful Islam, Mahfuzur Rahman Rafi, Al-amin Azad, Jesan Ahammed Ovi

Appl. Intell., 2022

BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging.

Jesan Ahammed Ovi, Md. Ashraful Islam, Md. Rezaul Karim

IEEE Access, 2022

2021

Mining High Utility Subgraphs.

Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung

Proceedings of the 2021 International Conference on Data Mining, 2021

2019

WeFreS: weighted frequent subgraph mining in a single large graph.

Nahian Ashraf, Riddho Ridwanul Haque, Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Jiaxing Jason Mai, Bryan H. Wodi

Proceedings of the Advances in Data Mining, 2019

2018

WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases.

Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Calvin S. H. Hoi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018