| An approximate model for event detection from twitter data A Dhiman, D Toshniwal IEEE Access 8, 122168-122184, 2020 | 31 | 2020 |
| Optimizing frequent subgraph mining for single large graph A Dhiman, SK Jain Procedia Computer Science 89, 378-385, 2016 | 16 | 2016 |
| Frequent subgraph mining algorithms for single large graphs—A brief survey A Dhiman, SK Jain 2016 International Conference on Advances in Computing, Communication …, 2016 | 12 | 2016 |
| AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns A Dhiman, D Toshniwal Expert Systems with Applications 203, 117338, 2022 | 7 | 2022 |
| An unsupervised misinformation detection framework to analyze the users using covid-19 twitter data A Dhiman, D Toshniwal 2020 IEEE International Conference on Big Data (Big Data), 679-688, 2020 | 7 | 2020 |
| An enhanced text classification to explore health based indian government policy tweets A Dhiman, D Toshniwal arXiv preprint arXiv:2007.06511, 2020 | 5 | 2020 |
| Do public and government think similar about Indian cleanliness campaign? A Dhiman, D Toshniwal Information Management and Big Data: 5th International Conference, SIMBig …, 2019 | 2 | 2019 |
| A Twitter Framework to assess the Effectiveness of Indian Government Campaign A Dhiman, D Toshniwal Transactions on Asian and Low-Resource Language Information Processing, 2022 | 1 | 2022 |
| An Unsupervised Misinformed Users and Content Identification of Covid-19 on Twitter Leveraging Frequency of Posts A Dhiman, D Toshniwal AGU Fall Meeting Abstracts 2020, NH007-0011, 2020 | | 2020 |
| Cleanliness Campaign V/S Sanitation Related Diseases-Are they parallel in public perspective? A Dhiman, D Toshniwal, S Somani, P Malik | | |
