Bikash Kanti Sarkar

Orcid: 0000-0002-3677-2649

According to our database1, Bikash Kanti Sarkar authored at least 21 papers between 2006 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Regression based machine learning models for forecasting preterm birth cases.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Changes in mental health of Indian students due to online classes during COVID-19 pandemic.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2021
Performance Analysis of Some Competent Learners on Medical Data: Using GA-Based Feature Selection Approach.
Int. J. Knowl. Based Organ., 2021

2020
A Systematic Review of Healthcare Big Data.
Sci. Program., 2020

Hybrid model for prediction of heart disease.
Soft Comput., 2020

A Two-Step Knowledge Extraction Framework for Improving Disease Diagnosis.
Comput. J., 2020

2018
A Hybrid Predictive Model Integrating C4.5 and Decision Table Classifiers for Medical Data Sets.
J. Inf. Technol. Res., 2018

Performance Assessment of Learning Algorithms on Multi-Domain Data Sets.
Int. J. Knowl. Discov. Bioinform., 2018

2017
Big Data and Healthcare Data: A Survey.
Int. J. Knowl. Based Organ., 2017

A case study on machine learning and classification.
Int. J. Inf. Decis. Sci., 2017

Performance analysis of GA-based iterative and non-iterative learning approaches for medical domain data sets.
Intell. Decis. Technol., 2017

A simple data discretizer.
CoRR, 2017

2016
A case study on partitioning data for classification.
Int. J. Inf. Decis. Sci., 2016

2012
A combined approach to tackle imbalanced data sets.
Int. J. Hybrid Intell. Syst., 2012

A genetic algorithm-based rule extraction system.
Appl. Soft Comput., 2012

2011
MIL: a data discretisation approach.
Int. J. Data Min. Model. Manag., 2011

Selecting informative rules with parallel genetic algorithm in classification problem.
Appl. Math. Comput., 2011

2010
Accuracy-based learning classification system.
Int. J. Inf. Decis. Sci., 2010

2009
The effect of stock, price and advertising on demand - an EOQ model.
Int. J. Model. Identif. Control., 2009

A hybrid approach to design efficient learning classifiers.
Comput. Math. Appl., 2009

2006
An efficient parallel algorithm for finding the largest and the second largest elements from a list of elements.
Proceedings of the 9th International Conference in Information Technology, 2006


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