Embedded Files
Ph. D. Students
Ph. D. Students
Dr. Jenish Dhanani (Guided with Dr. R. G. Mehta) (FIR: D16Co002)
Thesis Title: "Scalable Learning of Text Embedding for Big Data: Dictionary based Approaches for Sentiment Analysis of Informal Text and Recommendation System for Formal Text"
Viva-voce Date: 11th February 2022
Currently Working as: Co-Founder of Rejoice Hub, Surat, Gujarat
Ms. Isha Agarwal (FIR: D17Co004)
Thesis Title: "Novel Approaches for Fake News Detection in Healthcare Domain"
Viva-voce Date: 24th May 2023
Currently Working as: Lab and Activity Coordinator, SVNIT, Surat, Gujarat
3. Dr. Mitali Desai (Guided with Dr. R. G. Mehta) (FIR: DS17Co003)
Thesis Title: "A Systematic Approach to Identify and Rank Influential Scholars from Digital Scholarly Platforms "
Viva-voce Date: 25th May 2023
Currently Working as: Assistant Professor, Computer Engineering Department, Sarvajanik College of Engineering and Technology, Surat, Gujarat
Currently Working as: Activity and Lab Coordinator, SVNIT-Surat
Dr. Mitali Desai (Guiding with Dr. R. G. Mehta) (FIR: DS17Co003)
Thesis Title: "A Systematic Approach to Identify and Rank Influential Scholars from Digital Scholarly Platforms "
Ph. D. Viva-voce Date: 25th May 2023
Currently Working as: Assistant Professor, Computer Engineering Department, Sarvajanik College of Engineering and Technology , Surat, Gujarat
Dr. Anjali S. More (PEC: DS15Co008)
Thesis Title: Novel Classification and Enhanced Sampling based Approaches for Imbalanced Data
Ph. D. Viva-voce Date: 25th Jan 2024
Currently Working as: Associate Professor, Symbiosis Institute Technology, Pune, Maharashtra
4. Dr. Anjali S. More (PEC: DS15Co008)
Thesis Title: Novel Classification n and Enhanced Sampling based Approaches for Imbalanced Data
Thesis Submitted: 2nd Dec 2022
Viva-voce Date: 25th Jan 2024
Currently Working as: Assistant Professor, Computer Engineering Department, Suman Ramesh Tulsiani Technical Campus FoE, Pune, Maharashtra
5. Dr. John Kenny (PEC: D18Co001)
Thesis Title: Novel Algorithms for Mining Recency and Occupancy based High Utility Patterns
Thesis Submission Date: 24th May 2024
Ph. D. Viva-voce Date: 11th November 2024
Currently Working as: Head of Department Artificial Intelligence and Machine Learning, Universal College of Engineering, Mumbai, Maharashtra
6. Dr. Pranita Y. Mahajan (PEC: D18Co004)
Thesis Title: Clinical Relation Modeling using Optimized Patient Embeddings from Unstructured Medical Records
Thesis Submission Date: 23rd May 2024
Ph. D. Viva-voce Date: 3rd December 2024
Currently Working as: Sr. Data scientist, Relx-Elsevier
Ongoing
7. Ms. Vaishnavee Rathod (Guiding with Dr. R. G. Mehta) (FSF: D20Co004)
8. Ms. Nikita (Guiding with Dr. R. G. Mehta) (FIR: D21Co001)
9. Mr. Patel Parmanand (ERS: D23CS004)
10. Ms. Varunakshi Bhojane (Guiding with Dr. R. G. Mehta) (ERS)
M. Tech. Students
M. Tech. Students
Registered
Mr. Vandan Parmar, 2023-24
Ms. Sarika, 2023-24
Completed
Mr. Chintan, 2022-23
Mr. Devanshu, 2022-23
Ms. Jyoti Kumari, 2021-22
Mr. Sarit Kiran Roy, 2021-22
Ms. Shweta Tikhe, 2020-21
Ms. Navodita Saini, 2020-21
Mr. Ashish Tripathi (P18CO001), 2019-20
Mr. Dilip Puri (P18CO008), 2019-20
Mr. Pradeep Kumar Yadav (P17CO010), 2018-19
Ms. Krishna Meena (P17CO017), 2018-19
Mr. Nikhil Jain, 2017-18
Mr. Ranjeet Kumar, 2017-18
Mr. K. Davis, 2015-16
Mr. H. Jangir, 2015-16
Mr. P. Somkunwar, 2013-14
Ms. P. D. Chaudhari, 2013-14
Mr. Bharat A. Tidke, 2012-13
Mr. Joseph, 2012-13
Mr. Mihir R. Patel, 2012-13
Mr. Ashish R. Chaudhari, 2012-13
Mr. Mehul Lad, 2011-12
Mr. S. S. Garasia, 2011-12
Mr. N. S. Kumar, 2011-12
Ph. D. Student Publication
Ph. D. Student Publication
Dr. Jenish Dhanani (2017-2023):
International Journals:
Dhanani, Jenish, Mehta, Rupa, and Rana, Dipti, "Effective and Scalable Legal Judgment Recommendation using Pre-Learned Word Embedding", Complex & Intelligent Systems, Vol. 8, pp. 3199–3213, Feb. 2022. https://doi.org/10.1007/s40747-022-00673-1 (SCIE, Scopus) (1.13)
Dhanani, Jenish, Mehta, Rupa, and Rana, Dipti. ‘Legal Document Recommendation System: A Cluster Based Pairwise Similarity Computation’, Journal of Intelligent & Fuzzy Systems, pp. 5497 – 5509, 1 Jan 2021. DOI: 10.3233/JIFS-189871. (SCIE, Scopus) (0.32)
Dhanani, Jenish, Mehta, Rupa, and Rana, Dipti, "DSPWE: distributed sentiment polarized word embedding for voluminous textual data", Journal of Ambient Intelligence and Humanized Computing (JAIHC), Springer, 2023. https://doi.org/10.1007/s12652-023-04611-y (Scopus)
Dhanani, Jenish, Mehta, Rupa, and Rana, Dipti, "Effective and Scalable Legal Judgment Recommendation using Pre-Learned Word Embedding", Complex & Intelligent Systems, Vol. 8, pp. 3199–3213, Feb. 2022. DOI: https://doi.org/10.1007/s40747-022-00673-1 (SCIE, Scopus)
Dhanani, J., Mehta, R. and Rana, D. P., "Legal document recommendation system: a dictionary based approach", International Journal of Web Information Systems, Vol. 17 No. 3, pp. 187-203, 2021. DOI: https://doi.org/10.1108/IJWIS-02-2021-0015. (Scopus)
Dhanani, Jenish, Rupa Mehta, and Dipti Rana. "Sentiment Weighted Word Embedding for Big Text Data," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, Vol. 16(6), 1-17, Dec. 2021. DOI: http://doi.org/10.4018/IJWLTT.20211101.oa2
Dhanani, Jenish, Mehta, Rupa, and Rana, Dipti. ‘Legal Document Recommendation System: A Cluster Based Pairwise Similarity Computation’, Journal of Intelligent & Fuzzy Systems, pp. 5497 – 5509, 1 Jan 2021. DOI: 10.3233/JIFS-189871. (SCIE, Scopus)
Dhanani, Jenish and G. Mehta, Rupa and P. Rana, Dipti and Tidke, Bharat, "Big and Stream Data Analytics Using Incremental MapReduce Framework for Smart City", International Journal of Computational Intelligence & IoT, Vol. 1, No. 2, 2018, Available at SSRN: https://ssrn.com/abstract=3354729
Proceedings of International Conferences:
Jenish Dhanani, Rupa Mehta, Dipti Rana and Bharat Tidke, "Big and Stream Data Analytics using Incremental MapReduce framework for Smart City", International Conference on Computational Intelligence and Internet of Things (ICCIIoT 2018), National Institute of Technology, Agartala, India, Dec 2018.
Book Chapters:
Dhanani J., Mehta R., Rana D., Tidke B. (2019) Back-Propagated Neural Network on MapReduce Frameworks: A Survey. In: Tiwari S., Trivedi M., Mishra K., Misra A., Kumar K. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 851. Springer, Singapore (DOI: https://doi.org/10.1007/978-981-13-2414-7_35)
Dr. Isha Agarwal (2017-2023): Novel Approaches for Fake News Detection in Healthcare Domain
International Journals:
Agarwal, I., Rana, D., “Credibility and The Science of Sentiments”, Journal of Advanced Research in Dynamical and Control Systems, Vol. 12, pp. 1738-1745, 2020. DOI: 10.5373/JARDCS/V12SP7/20202283 (SCOPUS)
Agarwal, I., Rana, D., Shaikh, M., Poudel, S., “Spatio-Temporal Approach for Classification of COVID-19 pandemic Fake News”, Social Network Analysis and Mining. Vol. 12(1):68, 2022. DOI: 10.1007/s13278-022-00887-8 (ESCI, SCOPUS)
Agarwal, I., Rana, D., Jariwala, A., Bondre, S., “A Novel Stance based Sampling for Imbalanced Data” International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13(1), pp. 461-467, 2022. (SCOPUS) DOI: http://dx.doi.org/10.14569/IJACSA.2022.0130157 (SCOPUS)
Agarwal, I., Rana, D., Jariwala, A., Bondre, S., “Cluster based Sampling for Fake News on Healthcare during COVID-19 Infodemic”, Recent Advances in Electrical Electronic Engineering Journal, Vol. 15, Aug. 2022. DOI: https://dx.doi.org/10.2174/2352096515666220817104354 (ESCI)
Agarwal, I., Rana, D., “An Improved Fake News Detection Model by Applying Recursive Feature Elimination Approach for Credibility Assessment and Uncertainty”, Journal of Uncertain Systems (JUS), Jul 2022. DOI: https://doi.org/10.1142/S1752890922420089 (SCOPUS)
Under Review:
Agarwal, I., Rana, D., Panwala, K., Shah, R., Kathiriya, V., “Analysis of Contextual Features’ Granularity for Fake News Detection”, Multimedia Tools and Applications (SCIE, SCOPUS)
Agarwal, I., Rana, D., Jariwala, A., Bondre, S., “Analysis of Sampling using Data Augmentation on Imbalance Fake News Dataset”, The Journal of Supercomputing (SCIE, SCOPUS)
Proceedings of International Conferences:
Agarwal, I., Rana, D., & More, A., “Predicting the Veracity of Fake Information on Smart Media for Reducing Misinformation Diffusion”, International Journal of Computational Intelligence & IoT, Vol. 1(2), 2018. Available at SSRN: https://ssrn.com/abstract=3354570
Rana, D., Agarwal, I., & More, A. “A Review of Techniques to Combat The Peril of Fake News”, In 4th International Conference on Computing Communication and Automation (ICCCA), IEEE, pp. 1-7, 2018. (SCOPUS)
Agarwal, I., Rana, D., Nunna, D., Surya, T., “FNH – A Data Repository for Studying Fake News in Healthcare Domain”, 7th International Conference on Emerging Applications of Information Technology (EAIT 2022), IEEE, 2022. (SCOPUS)
Dataset Published:
Agarwal, I., Rana, D. (2020), “COVID19FN”, Mendeley Data, v3 DOI: http://dx.doi.org/10.17632/b96v5hmfv6.3
Agarwal, I., Rana, D., Nunna, D., Surya, T., November 1, 2021, “Fake News on COVID-19 Healthcare”, IEEE Dataport DOI: https://dx.doi.org/10.21227/k0qs-bz38.
Book Chapter:
Agarwal, I., Rana, D., “Fake News and Imbalanced Data Perspective”, Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, IGI Global, pp. 195-210, 2021. DOI: 10.4018/978-1-7998-7371-6.ch011. (SCOPUS)
Dr. Mitali Desai (2017-2023): Social Data Mining-Scholarly Platform
International Journals:
M. Desai, R. G. Mehta and D. P. Rana, "An Exploratory Study of Scholarly Platforms and Features to help Emerging Scholars Gaining Visibility in Scholar Community", Journal of Scientometric Research. (Under Review) (Submitted: 28-October-2021)
M. Desai, R. G. Mehta and D. P. Rana, "An Empirical Analysis to Identify the Effect of Indexing on Influence Detection using Graph Databases", International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering and Sciences Publication, Vol. 8, No. 9S, ISSN: 2278-3075, pp. 414-421, July 2019. Available at DOI: 10.35940/ijitee.I1066.0789S19 (SCOPUS)
M. Desai, R. G. Mehta and D. P. Rana, "Anatomizing the Impact of ResearchGate Followers and Followings on Influence Identification", Journal of Information Science, SAGE Publications, July 2022. Available at DOI: 10.1177/01655515221100716 (SCIE, SCOPUS)
M. Desai, R. G. Mehta and D. P. Rana, "ScholarRec: A Scholars’ Recommender System that Accumulates Scholastic Influence and Social Collaborations to Identify and Rank Influential Scholars in Academic Social Networks", International Journal of Data Science and Analytics, Springer, July 2022. Available at DOI: 10.1007/s41060-022-00345-w (SCOPUS, ESCI)
M. Desai, R. G. Mehta and D. P. Rana, "Issues and Challenges in Big Graph Modelling for Smart City: An Extensive Survey", International Journal of Computational Intelligence & IoT, Vol. 1, No. 1, pp. 44-50, December 2018. Available at SSRN: https://ssrn.com/abstract=3354388 (ELSEVIER-SSRN)
M. Desai, R. G. Mehta and D. P. Rana, "Contextual Analysis of Scholarly Communications to Identify the Source of Disinformation on Digital Scholarly Platforms", Kybernetes. (SCI, SCOPUS)
M. Desai, R. G. Mehta and D. P. Rana, "A Scholar Ranking Indicator to Aggregate Academic and Social Influence on Scholarly Platforms for Influence Analysis", Data & Knowledge Engineering.
Proceedings of International Conferences:
M. Desai, R. G. Mehta and D. P. Rana, "A Survey on Techniques for Indexing and Hashing in Big Data", in the 4th International Conference on Computing Communication and Automation (ICCCA 2018), IEEE, Greater Noida, India, pp. 1-6, December 2018. Available at DOI: 10.1109/CCAA.2018.8777454 (IEEE XPLORE) (SCOPUS)
M. Desai, R. G. Mehta and D. P. Rana, "A Model to Identify Redundancy and Relevancy in Question Answer Systems of Digital Scholarly Platforms", in the International Conference on Machine Learning and Data Engineering, ELSEVIER, India. (Accepted) - Proceedings in Procedia Computer Science Journal, Elsevier.
Mitali Desai, Rupa G. Mehta and Dipti P. Rana, "Issues and challenges in big graph modelling for smart city: An extensive survey", International Conference on Computational Intelligence and Internet of Things (ICCIIoT 2018), National Institute of Technology, Agartala, India, Dec 2018.
Book Chapters:
M. Desai, R. G. Mehta and D. P. Rana, "RGNet: The Novel Framework to Model Linked ResearchGate Information into Network using Hierarchical Data Rendering", in Advances in Machine Learning and Computational Intelligence, Algorithms for Intelligent Systems, Springer, Singapore, pp. 37-45, January 2021. Available at DOI: 10.1007/978-981-15-5243-4\_4
M. Desai, R. G. Mehta and D. P. Rana, "An Experimental Analysis to Learn Data Imbalance in Scholarly Data: A Case Study on ResearchGate", in Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, IGI Global, pp. 242-254, June 2021. Available at DOI: 10.4018/978-1-7998-7371-6.ch014 (SCOPUS)
Ms. Anjali More (2017-2024): Novel Approaches for Imbalanced Data Set
International Journals:
Anjali S. More, Dipti P. Rana, "AI Federated Learning based Improvised Random Forest Classifier with Error Reduction Mechanism for Skewed Datasets", International Journal of Pervasive Computing and Communications (IJPCC), Emerald, Vol. ahead-of-print, Aug. 2022. https://doi.org/10.1108/IJPCC-02-2022-0034 (ESCI, Scopus) (0.55)
Anjali S. More and Dipti P. Rana, "Novel Oversampling Algorithm for Handling Imbalanced Data Classification", International Journal of Advanced Computer Science and Applications (IJACSA), Vol.13 (8), August 2022. DOI: 10.14569/IJACSA.2022.0130856 (Scopus)
Anjali S. More, Dipti P. Rana, "Performance enrichment through parameter tuning of random forest classification for imbalanced data applications", Materials Today: Proceedings, pp. 3585-3593, 2022. DOI: 10.1016/j.matpr.2021.12.020 (Scopus)
Anjali S. More, Dipti P. Rana, "An Experimental Assessment of Random Forest Classification Performance Improvisation with Sampling and Stage Wise Success Rate Calculation", Procedia Computer Science, Volume 167, pp. 1711-1721, 2020. DOI: http://www.sciencedirect.com/science/article/pii/S1877050920308474, DOI: https://doi.org/10.1016/j.procs.2020.03.381. (Scopus)
A. S. More and D. P. Rana, "Classification Algorithm for Imbalanced Intrusion Detection System with Random Forest Classifier HIDSRFC", International Journal of Security and Networks, ISSN: 1747-8413, Inderscience. (SCOPUS, Under Review)
A. S. More and D. P. Rana, "Recent Development Survey on Intrusion Detection System using Neural Network for the Time Span of 2017 to 2022", Springer Journal of Computer Science andTechnology,ISSN:1000-9000,FirstSubmittedon17June2022. (SCIE Under Review)
Anjali S. More, and Dipti P. Rana, and Isha Agarwal, "Random Forest Classifier Approach for Imbalanced Big Data Classification for Smart City Application Domains", International Journal of Computational Intelligence & IoT, Vol.1(2), 2018. Elsevier SSRN: https://ssrn.com/abstract=3354727
Proceedings of International Conferences:
Anjali More and Dipti Rana, "An Experimental Assessment of Random Forest Classification Performance Improvisation with Sampling and Stage Wise Success Rate Calculation", International Conference on Computational Intelligence and Data Science (ICCIDS 2019), The NorthCap University, Gurugram, 6th-7th September, 2019.
Anjali More and Dipti Rana, "Performance Enrichment through Parameter Tuning of Random Forest Classification for Imbalanced Data Applications", Applied Machine Learning & Management of Volatility, Uncertainty, Complexity and Ambiguity (V.U.C.A) (AML VUCA 2020), Bhubaneswar India.
Isha Agarwal, Dipti Rana and Anjali More, "Predicting the Veracity of Fake News on Smart Media for Reducing Misinformation Diffusion ", International Conference on Computational Intelligence and Internet of Things (ICCIIoT 2018), National Institute of Technology, Agartala, India, Dec 2018.
Anjali More, Dipti Rana and Isha Agarwal, "Random Forest Classifier Approach for Imbalanced Big Data Classification for Smart City Application Domains ", International Conference on Computational Intelligence and Internet of Things (ICCIIoT 2018), National Institute of Technology, Agartala, India, Dec 2018.
A. S. More and D. P. Rana, "Review of Random Forest Classification Techniques to Resolve Data Imbalance", IEEE 1st International Conference on Intelligent Systems and Information Management (ICISIM), Aurangabad, India, 2017, IEEE Xplore pp.72-78, ISBN:978-1-5090-4264-7, doi:10.1109/ICISIM.2017.8122151. (SCOPUS)
Book Chapter
More, Anjali S., and Dipti P. Rana. "Review of Imbalanced Data Classification and Approaches Relating to Real-Time Applications." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 1-22. Hershey, PA: IGI Global, 2021. http://doi:10.4018/978-1-7998-7371-6.ch001 (Scopus)
Mr. John Kenny (Utility Mining)
International Journals
John Kenny, Dipti Rana, "HARUIM: High Average Recent Utility Itemset Mining", International Journal of Data Mining, Modelling and Management, Inderscience Publishers, (Accepted) DOI:10.1504/IJDMMM.2024.10055782, (SCOPUS).
John Kenny, Dipti Rana, "HARUIM-MMRT: High Average Recency Utility Itemset Mining using Multiple Minimum Recency Thresholds", New Generation Computing, Springer, (Under Review).
John Kenny, Dipti Rana, "RSPHUIM: Recent Short Period High Utility Itemset Mining", SPRINGER NATURE, COMPUTER SCIENCE 4, 485 (2023). https://doi.org/10.1007/s42979-023-01967-y, (SCOPUS).
John Kenny, Dipti Rana, "HAUOPM: High Average Utility Occupancy Pattern Mining", Arabian journal of Science and Engineering (2023), https://doi.org/10.1007/s13369-023-07971-x, (SCIE, SCOPUS).
John Kenny, Dipti Rana, "D-HUP tree: Distributed HUP tree for scalable High Utility Itemset Mining", Arabian Journal of Science and Engineering, SPRINGER. (Under Review).
Proceedings of International Conferences:
John Kenny, Dipti Rana, "High Average Utility Itemset Mining: A Survey", in Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 56. Springer, Singapore. https://doi.org/10.1007/978-981-15-8767-2_30.(SCOPUS).
Ms. Pranita Mahajan (Healthcare Data Mining)
International Journals
Pranita Y. Mahajan, Dipti P. Rana, “Text mining approach for the prediction of disease status from discharge summaries using CCBE and NEROA-CNN”, Expert Systems with Applications, Volume 227, 2023, 120310, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.120310. (SCIE)
Pranita Y. Mahajan, Dipti P. Rana, “Feature optimization in CNN using MROA for disease classification”, intelligent-decision-technologies/idt220097, IOS Press, Vol. 17, Iss: 2, pp 301-315, 10.3233/IDT 220097. (Scopus)
Pranita Y. Mahajan, Dipti P. Rana, “Text Mining in Healthcare”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(2) (2019).
Pranita Y. Mahajan, Dipti P. Rana, "Relation Extraction and Cohort Formation with Graph Embedding from EMR", Special Issue "Advances in Text Mining, Text Analytics, and Their Integration with Other Modalities", A special issue of Electronics (ISSN 2079- 9292), SCIE, Under Review.
Book Chapter
Pranita Y. Mahajan, Dipti P. Rana, “Investigating Clinical Named Entity Recognition Approaches for Information Extraction from EMR”, In: Mehta M., Fournier-Viger P., Patel M., Lin J.CW. (eds) Tracking and Preventing Diseases with Artificial Intelligence. Intelligent System Reference Library, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-030-76732- 7_7. (Scopus Book Chapter).
International Conference
Pranita Y. Mahajan, Dipti P. Rana, “Standardization and Context-Specific Named Entity Linking of Electronic Medical Records,” The 2nd International Conference on Emerging trends and Innovations in ICT-2022 (ICEI-2022) 10th-12th March 2022.
Research Grant Received
Minor research grant of Mumbai University for the project, “Medical chatbot for Non-Communicable Disease Awareness and Prevention for Indian Rural Women”, No. APD/ICD/2019-20/762, March 2022.
M. Tech. Student Publication
M. Tech. Student Publication
Devanshu Dudhia and Dipti P. Rana, "Sentiment Analysis in Gujarati Language", 6th International Conference on Information Systems and Management Science 2023 (ISMS 2023) Organized by O. P. Jindal University, Raigarh, India, 23 - 24 December 2023. (PRESENTED)
Jyoti Kumari, Dipti P. Rana, "GeoAI-Based Covid-19 Prediction Model",. In: Das, S., Saha, S., Coello Coello, C.A., Bansal, J.C. (eds) Advances in Data-driven Computing and Intelligent Systems. Lecture Notes in Networks and Systems, vol 653, pp. 669–684, Springer, Singapore, June 2023. https://doi.org/10.1007/978-981-99-0981-0_51
Shweta Tikhe and Dipti P. Rana, "Fine-Tuned Predictive Models for Forecasting Severity Level of Covid-19 Patient Using Epidemiological Data", 7th International Conference on Emerging Applications of Information Technology (EAIT 2022), CSI KOLKATA CHAPTER, Kolkata, West Bengal, March 29 - 31, 2022
Navodita Saini and Dipti Rana, “Dictionary based Gender Identification and Gender based Sentiment Analysis With Polarized Word2vec”, Fourth International Conference on Futuristic Trends in Networks, Computing and Communication Technologies (FTNCT), Nirma University, Ahmedabad, 10-11 Dec. 2021
Rana, Dipti P., and Navodita Saini. "Gender-Based Tweet Analysis (GTA)." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 255-267. Hershey, PA: IGI Global, 2021. http://doi:10.4018/978-1-7998-7371-6.ch015
Tidke, B., Mehta, R. G., Rana, D. P., & Jangir, H. (2020). Topic Sensitive User Clustering Using Sentiment Score and Similarity Measures: Big Data and Social Network. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 15(2), 34-45. http://doi.org/10.4018/IJWLTT.2020040103 (SCOPUS)
Dipti Rana, Rupa Mehta and Prateek Somkunwar, Naresh Mistry and Mukesh Raghuwanshi, “Segregation of Rare Items Association”, Proc. of 3rd International Conference on Advanced Computing, Networking and Informatics (ICACNI), Lecture Note Series of Smart Innovation, Systems and Technologies, Springer, Verlag, ISSN:2190-3018, E-ISSN:2190-3026, Vol. 43, pp. 171-179, 2015. DOI: 10.1007/978-81-322-2538-6_18
Nikhil Jain, Mitali Desai, Dipti P. Rana, “Empirical Comparison of IoT Based Smart Home Models”, International Journal of Computational Intelligence & IoT, ELSEVIER-SSRN (ISSN: 1556-5068), Vol. 2 (2), pp. 455-460, March 2019. Available at SSRN: https://ssrn.com/abstract=3355516
Nikhil Jain, Mitali Desai and Dipti P. Rana, "Empirical comparison of IoT based smart home models", International Conference on Computational Intelligence and Internet of Things (ICCIIoT 2018), National Institute of Technology, Agartala, India, Dec 2018.
P Chaudhari, D P Rana, R G Mehta, N J Mistry, M MRaghuwanshi, “Discretization of temporal data: a survey”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 11 (2), pp. 66-69, 2014. arXiv preprint arXiv:1402.4283 (SCOPUS)
N. N. Vadnere, R. G. Mehta, D. P. Rana, N. J. Mistry, M. M. Raghuwanshi, “Incremental Classification using Feature Tree”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 12 (2), pp. 61-65, February 2014.arXiv preprint arXiv:1402.1257(SCOPUS)
D Rana, R Mehta, Somkunwar, "Segregation of Rare Items Association", 3rd Intl. Conf. on Advanced Computing, Networking and Informatics, pp. 171-179, New Delhi, 2014
Patel M. R., D Rana, R Mehta, "FApriori: A modified Apriori algorithm based on checkpoint", IEEE International Conference on Information Systems and Computer Networks (ISCON), pp.50-53, 2013
A R Chaudhari, D P Rana, R G Mehta, "Data Mining with Meteorological Data", International Journal of Advanced Computer Research, ISSN: 2249-7277, Vol. 3(11), pp. 25-29, 2013
S S Garasia, D P Rana, R G Mehta, "HTTP botnet detection using frequent patternset mining", International Journal of Engineering Science & Advanced Technology (IJESAT), Vol. 2, pp. 619-624, 2012
N S Kumar, D P Rana, R G Mehta, "Detecting e-mail spam using spam word associations", International Journal of Emerging Technology and Advanced Engineering, Vol. 2(4), pp. 222-226, 2012
B A Tidke, R G Mehta, D P Rana, "A novel approach for high dimensional data clustering", International Journal of Engineering Science & Advanced Technology (IJESAT), Vol. 2, pp. 645-51, 2012
M R Lad, R G Mehta, D P Rana, "A novel tree based classification", International Journal of Engineering Science & Advanced Technology (IJESAT), Vol. 2, pp. 581-586, 2012
B. Tech. Student Publication
B. Tech. Student Publication
Isha Agarwal, Dipti Rana, Ch Surya Teja, and Nunna Naga Surya Sai Daivik, "FNH – A Data Repository for Studying Fake News in Healthcare Domain", 7th International Conference on Emerging Applications of Information Technology (EAIT 2022), CSI KOLKATA CHAPTER, Kolkata, West Bengal, March 29 - 31, 2022 (ACCEPTED)
Isha Agarwal, Dipti Rana, Aemie Jariwala, Sahil Bondre, “A Novel Stance based Sampling for Imbalanced Data ”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13, No. 1, Jan 2022. DOI: https://dx.doi.org/10.14569/IJACSA.2022.0130157 (Open Access) (SCOPUS)
Agarwal, I. Y., Rana, D. P., Shaikh, M. et al. Spatio-Temporal Approach for Classification of COVID-19 Pandemic Fake News. Social Networks Analysis and Mining, Vol. 12, pp. 68(1-9), June 2022. https://doi.org/10.1007/s13278-022-00887-8 (ESCI, Scopus)
Agarwal, Isha Y. and Dipti P. Rana, Devanshi Bhatia, Jay Rathod, Kaneesha J. Gandhi, and Harshit Sodagar (2021), "Detection of Bot Accounts on Social Media Considering Its Imbalanced Nature." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 162-176. Hershey, PA: IGI Global. (http://doi:10.4018/978-1-7998-7371-6.ch009)
Agarwal, Isha Y. and Dipti P. Rana, Kshitij R. Suri, Punitkumar Jain, Saumya Awasthi, and Krittika Roy (2021), "Behaviour Anomaly Detection With Similarity-Based Sampling for Imbalanced Data." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 177-194. Hershey, PA: IGI Global. (http://doi:10.4018/978-1-7998-7371-6.ch010)
Tidke, B., Mehta, R., Rana, D., Mittal, D. and Suthar, P. (2020), "A social network based approach to identify and rank influential nodes for smart city", Kybernetes, (In Print). (DOI: https://doi.org/10.1108/K-09-2019-0637)
D. Mittal, P. Suthar, M. Patil, P. G. S. Pranaya, D. P. Rana, B. Tidke, Social Network Influencer Rank Recommender Using Diverse Features from Topical Graph, Procedia Computer Science, 2020 | conference-paper, DOI: 10.1016/j.procs.2020.03.205, EID: 2-s2.0-85084503546
Dholakia R., Randeria R., Dholakia R., Ashar H., Rana D. (2020) Cognitive Demand Forecasting with Novel Features Using Word2Vec and Session of the Day. In: Gunjan V., Zurada J., Raman B., Gangadharan G. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 885. Springer, Cham (DOI: https://doi.org/10.1007/978-3-030-38445-6_5)
Dipti P Rana, Simran Bawkar, Mansi Jain, Swati Bothra, Shailesh Baldaniya, "Image Based Fake Tweet Retrieval (IBFTR)", International Conference for Emerging Technology (INCET 2020), pp. 1-8, 2020.
Parikh Y., Palusa A., Kasthuri S., Mehta R., Rana D. (2018) Efficient Word2Vec Vectors for Sentiment Analysis to Improve Commercial Movie Success. In: Bhattacharyya S., Gandhi T., Sharma K., Dutta P. (eds) Advanced Computational and Communication Paradigms. Lecture Notes in Electrical Engineering, vol 475. Springer, Singapore (DOI: https://doi.org/10.1007/978-981-10-8240-5_30)
N S Kapadia, D P Rana, U Parikh , "Weather Forecasting using Satellite Image Processing and Artificial Neural Networks", International Journal of Computer Science and Information Security, (IJCSIS), Vol. 14 (11), pp. 1069, 2016 .
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