Abul Hashem Beg

Orcid: 0000-0002-5631-3423

According to our database1, Abul Hashem Beg authored at least 12 papers between 2010 and 2020.

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

Timeline

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Bibliography

2020
Tree Index: A New Cluster Evaluation Technique.
CoRR, 2020

HeMI ++: A Genetic Algorithm based Clustering Technique for Sensible Clusters.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2016
Genetic algorithm with healthy population and multiple streams sharing information for clustering.
Knowl. Based Syst., 2016

Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Novel crossover and mutation operation in genetic algorithm for clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A novel genetic algorithm-based clustering technique and its suitability for knowledge discovery from a brain data set.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multi-dimensional K-Means Algorithm for Student Clustering.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

2012
MT2Way: A Novel Strategy for Pair-Wise Test Data Generation.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012

MaxD K-Means: A Clustering Algorithm for Auto-generation of Centroids and Distance of Data Points in Clusters.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012

2011
Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters.
Int. J. Inf. Retr. Res., 2011

Synchronous Replication: Novel Strategy of Software Persistence Layer Supporting Heterogeneous System.
Proceedings of the Software Engineering and Computer Systems, 2011

2010
Lowest Data Replication Storage of Binary Vote Assignment Data Grid.
Proceedings of the Networked Digital Technologies - Second International Conference, 2010


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