Book Published

1.Weighted Naive Bayes Classifier in Medical:A predictive modeling approach in Breast cancer Detection.(ISBN-978-613-9-92544-5).

International Journal

1. ”Using Data Mining Techniques for Diagnosis & Prognosis of Cancer Disease”.International Journal of Computer Science Engineering and Information Technologies,(IJCSEIT) ,Vol 2,No.2,April 2012.
2. “Predictive Machine Learning Techniques for   Breast Cancer Detection”. International    Journal of Computer Science and Information Technologies, (IJCSIT) Vol. 4 (6) , Dec- 2013, 1023-1028.
3. “Using Bayesian Belief Networks for Prognosis & Diagnosis of Breast     Cancer”. Volume 3, Issue 2, IJARCCE, Feb 2014.
4. “Naive bayes classifiers: A probabilistic detection model for breast cancer” Volume 92 – No.10, April 2014   , International Journal of Computer Applications (IJCA), Newyork, United states with impact factor .825.
5. Weighted Naive Bayes Classifier: A Predictive Model for Breast Cancer Detection.JAn,2016,International Journal of Computer Applications (IJCA), Newyork, United states with impact factor .825. 

        6.Kharya, S., Onyema, E. M., Zafar, A., Wajid, M. A., Afriyie, R. K., Swarnkar, T., & Soni, S. (2022). Weighted Bayesian belief network: a computational intelligence approach for predictive modeling in clinical datasets. Computational Intelligence and Neuroscience, 2022.(SCI-indexed).

        7.Kharya, S., Soni, S., & Swarnkar, T. (2023). Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules. International Journal of Information Technology, 1-9.          (SCOPUS indexed)

        8• Kharya, S., Soni, S., & Swarnkar, T. (2022). Generation of synthetic datasets using weighted bayesian association rules in clinical world. International Journal of Information Technology, 14(6), 3245-3251.       (SCOPUS indexed)

National Conference

1. Shweta Kharya,Sunita Soni,Tripti Swarnkar “A brief study of Breast Cancer symptoms, screening methods and preventions”. National conference BITCON 21,BIT, Durg.

International Conference 

1. Shweta Kharya,Sunita Soni,Tripti Swarnkar “Fuzzy Weighted Bayesian Association Rule Mining :A Theoretical Approach”. International Science Congress 2019, BIT,Durg.
2. Shweta Kharya,Sunita Soni,Tripti Swarnkar“Weighted Bayesian Association Rule Mining Algorithm to construct Bayesian Belief Network”, 2019 International Conference on Applied Machine Learning (ICAML) at S ‘O’ A University,Bhubaneshwar,Odisha.DOI 10.1109/ICAML48257.2019.00013.SCOPUS indexed.

 MAJOR COURSES/ WORKSHOPS /STTP/FDPS ATTENDED

• AI/ML and Data Science for Industrey 4.0,NITTTR,CHandigarh ,21-08-2023 to 25-08-2023.
• Data Science using R,1 Week ,NITTTR,Chandigarh,17-07-2023 to 21-07-2023.       
• Recent Trends &Tools for Data Analytics 1 Week G H Raisoni College of Engineering , Nagpur 9-01-2023 to 13-01-2023
• Recent Trends in Computer Science 1Week G.Pulla Reddy Engineering College,Kurnool,AP 20th-24th December 2022.
• Python for Data Science, Bennette University,Noida, 21st-25th July 2020
• Online Training on “Data Science”,Intershala Trainings, 5th June-17th july 2020
• Deep Learning & its Applications,Siksha ‘O’ Anusandhan University,Bhubaneshwar,Orissa,11-13 May 2016