Mohammad Samiullah

Orcid: 0000-0001-8212-1938

Affiliations:
  • University of Dhaka, Bangladesh


According to our database1, Mohammad Samiullah authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Discovering Interesting Patterns from Hypergraphs.
ACM Trans. Knowl. Discov. Data, January, 2024

An Efficient Approach to Learn an Effective Hierarchy of a Set of OOBN Classes.
Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

SREMIC: Spatial Relation Extraction-based Malware Image Classification.
Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

2023
Discovering probabilistically weighted sequential patterns in uncertain databases.
Appl. Intell., March, 2023

Shareable and Inheritable Incremental Compilation in iOOBN.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022
Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021
Discriminating Frequent Pattern Based Supervised Graph Embedding for Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Mining Frequent Patterns from Hypergraph Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

UFreS: A New Technique for Discovering Frequent Subgraph Patterns in Uncertain Graph Databases.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2018
Mining non-redundant closed flexible periodic patterns.
Eng. Appl. Artif. Intell., 2018

2017
An efficient dynamic superset bit-vector approach for mining frequent closed itemsets and their lattice structure.
Expert Syst. Appl., 2017

Supergraph based periodic pattern mining in dynamic social networks.
Expert Syst. Appl., 2017

A new framework for mining weighted periodic patterns in time series databases.
Expert Syst. Appl., 2017

An Efficient Approach for Mining Frequent Subgraphs.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Mining interesting patterns from uncertain databases.
Inf. Sci., 2016

An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015
A new framework for mining frequent interaction patterns from meeting databases.
Eng. Appl. Artif. Intell., 2015

An efficient approach to mine flexible periodic patterns in time series databases.
Eng. Appl. Artif. Intell., 2015

Reframing in Frequent Pattern Mining.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
Mining frequent correlated graphs with a new measure.
Expert Syst. Appl., 2014

An efficient approach for mining cross-level closed itemsets and minimal association rules using closed itemset lattices.
Expert Syst. Appl., 2014

Reconstructing Gene Regulatory Network with Enhanced Particle Swarm Optimization.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Effective periodic pattern mining in time series databases.
Expert Syst. Appl., 2013

Correlation Mining in Graph Databases with a New Measure.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013


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