Publications

Journal:

1. Goswami, S., A. Das, A. Chakrabarti and B. Chakraborty. “A feature cluster taxonomy based feature selection technique.” Expert Systems with Applications 79 (2017): 76-89. (SCIE journal with impact factor 5.452)

2. Das, A., S. Goswami, A. Chakrabarti and B. Chakraborty. “A new hybrid feature selection approach using feature association map for supervised and unsupervised classification.” Expert Systems with Applications 88 (2017): 81-94. (SCIE journal with impact factor 5.452)

3. Goswami, S., A. Das, P. Guha, A. Tarafdar, S. Chakraborty, A. Chakrabarti and B. Chakraborty. “An approach of feature selection using graph-theoretic heuristic and hill climbing.” Pattern Analysis and Applications 22 (2017): 615-631. (SCIE journal with impact factor 1.512)

4. Das, A., Sahil Kumar, Samyak Jain, S. Goswami, A. Chakrabarti and B. Chakraborty. “An information-theoretic graph-based approach for feature selection.” Sādhanā Academy Proceedings in Engineering Sciences 45 (2020): 1-9. (SCIE journal with impact factor 0.849)

5. Das, A., S. Goswami, A. Chakrabarti and Basabi Chakraborti. “A strong intuitionistic fuzzy feature association map-based feature selection technique for high-dimensional data.” Sādhanā Academy Proceedings in Engineering Sciences 45 (2020): 1-9. (SCIE journal with impact factor 0.849)

6. Das, A., Ghosh, S., Thunder, S., Dutta, R., Agarwal, S. and A. Chakrabarti. “Automatic COVID-19 Detection from X-Ray images using Ensemble Learning with Convolutional Neural Network.” Pattern Analysis and Applications (accepted, to be published). (SCIE journal with impact factor 1.512)


Book Chapter:

1. Das, A., S. Goswami, B. Chakraborty and A. Chakrabarti. “A Graph-Theoretic Approach for Visualization of Data Set Feature Association.” ACSS (2016).

2. Kundu, Sagarika Saroj, Pritika Sarkar and A. Das. “Removing Irrelevant Features Using Feature Information Map for Unsupervised Learning.” CICBA (2018).

3. Kundu, Sagarika Saroj, Abhirup Das and A. Das. “Unsupervised Feature Selection Using Information-Theoretic Graph-Based Approach.” (2020).

4. Kumar, G., Jain, G., Panday, M., Das, A., & Goswami, S. (2020). Graph-Based Supervised Feature Selection Using Correlation Exponential.

5. Ghosal, Attri, Arunima Nandy, A. Das, S. Goswami and Mrityunjoy Panday. “A Short Review on Different Clustering Techniques and Their Applications.” (2020).

6. Roy, Ranajit, Ankur Paul, Priya Bhimjyani, N. Dey, Debankan Ganguly, A. Das and Suman Saha. “A Short Review on Applications of Big Data Analytics.” (2020).

7. Neogi, Pinaki Prasad Guha, A. Das, S. Goswami and Joy Mustafi. “Topic Modeling for Text Classification.” (2020).

8. Paul, A., S. Ghosh, A. Das, S. Goswami, S. D. Choudhury and S. Sen. “A Review on Agricultural Advancement Based on Computer Vision and Machine Learning.” (2020).

9. Ansar, Wazib, S. Goswami and A. K. Das. “A Data Science Approach to Analysis of Tweets Based on Cyclone Fani.” (2021).

10. Santra, Arnab, Mitra, Aniket, Sinha, Abhirup and A. K. Das. “Prediction of Most Valuable Bowlers of Indian Premier League (IPL).” (2021).

11. Banerjee, Abhirup, S. Goswami and A. Das. “A Hybrid Graph Centrality Based Feature Selection Approach for Supervised Learning.” (2021).


Conference:

1. Das, A., Aman Kedia, Lisha Sinha, S. Goswami, T. Chakrabarti and A. Chakrabarti. “Data mining techniques in Indian healthcare: A short review.” 2015 International Conference on Man and Machine Interfacing (MAMI) (2015): 1-7.

2. Das, A., S. Goswami, A. Chakrabarti and B. Chakraborty. “Feature Association Map (FAM) based Feature Selection for Classification” 2016 International Workshop on Smart Info-Media Systems in Asia (SISA 2016).

3. Bamwal, A.K., Choudhary, G.K., Swamim, R., Kedia, A., Goswami, S., & Das, A. (2016). Application of twitter in health care sector for India. 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 172-176.

4. Santra, A., Abhirup Sinha, Pritilata Saha and A. K. Das. “A Novel Regression based Technique for Batsman Evaluation in the Indian Premier League.” 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) (2020): 379-384.