Rahul Sharma

According to our database, Rahul Sharma authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining.

Minakshi Kaushik, Rahul Sharma, Pilleriin Kõiva, Iztok Fister Jr., Dirk Draheim

IEEE Access, 2024

Mobile Smart Contracts: Exploring Scalability Challenges and Consensus Mechanisms.

Vipin Deval, Vimal Kumar Dwivedi, Abhishek Dixit, Alex Norta, Syed Attique Shah, Rahul Sharma, Dirk Draheim

IEEE Access, 2024

2023

Utilizing Continuous Time Markov Chain for analyzing video-on-demand streaming in multimedia systems.

Debjani Ghosh, Mayank Pandey, Chakrapani Gautam, Ankit Vidyarthi, Rahul Sharma, Dirk Draheim

Expert Syst. Appl., August, 2023

Discretizing Numerical Attributes: An Analysis of Human Perceptions.

Minakshi Kaushik, Rahul Sharma, Dirk Draheim

CoRR, 2023

Numerical Association Rule Mining: A Systematic Literature Review.

Minakshi Kaushik, Rahul Sharma, Iztok Fister Jr., Dirk Draheim

CoRR, 2023

Future Opportunities for Systematic AI Support in Healthcare.

Markus Bertl, Gunnar Piho, Dirk Draheim, Peeter Ross, Ludwig Pechmann, Nicholas Bucciarelli, Rahul Sharma

Proceedings of the Bridging the Gap Between AI and Reality, 2023

On Observing Patterns of Correlations During Drill-Down.

Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Mahtab Shahin, Dirk Draheim

Proceedings of the Information Integration and Web Intelligence, 2023

2022

Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors.

Ankit Vidyarthi, Ruchi Agarwal, Deepak Gupta, Rahul Sharma, Dirk Draheim, Prayag Tiwari

IEEE Access, 2022

A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning.

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Alexandre Bazin, Syed Attique Shah, Iztok Fister Jr., Sadok Ben Yahia, Dirk Draheim

IEEE Access, 2022

An Analysis of Human Perception of Partitions of Numerical Factor Domains.

Minakshi Kaushik, Rahul Sharma, Mahtab Shahin, Sijo Arakkal Peious, Dirk Draheim

Proceedings of the Information Integration and Web Intelligence, 2022

Detecting Simpson's Paradox: A Machine Learning Perspective.

Rahul Sharma, Huseyn Garayev, Minakshi Kaushik, Sijo Arakkal Peious, Prayag Tiwari, Dirk Draheim

Proceedings of the Database and Expert Systems Applications, 2022

Towards Unification of Statistical Reasoning, OLAP and Association Rule Mining: Semantics and Pragmatics.

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Mahtab Shahin, Amrendra Singh Yadav, Dirk Draheim

Proceedings of the Database Systems for Advanced Applications, 2022

Why Not to Trust Big Data: Discussing Statistical Paradoxes.

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Mahtab Shahin, Ankit Vidyarthi, Prayag Tiwari, Dirk Draheim

Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

Exploring Factors in a Crossroad Dataset Using Cluster-Based Association Rule Mining.

Mahtab Shahin, Mohammad Reza Heidari Iman, Minakshi Kaushik, Rahul Sharma, Tara Ghasempouri, Dirk Draheim

Proceedings of the 13th International Conference on Ambient Systems, 2022

Discretizing Numerical Attributes: An Analysis of Human Perceptions.

Minakshi Kaushik, Rahul Sharma, Ankit Vidyarthi, Dirk Draheim

Proceedings of the New Trends in Database and Information Systems, 2022

Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning.

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Markus Bertl, Ankit Vidyarthi, Ashwani Kumar, Dirk Draheim

Proceedings of the New Trends in Database and Information Systems, 2022

2021

A Systematic Assessment of Numerical Association Rule Mining Methods.

Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Mahtab Shahin, Sadok Ben Yahia, Dirk Draheim

SN Comput. Sci., 2021

Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning.

Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Dirk Draheim

Proceedings of the Big Data Analytics - 9th International Conference, 2021

Big Data Analytics in Association Rule Mining: A Systematic Literature Review.

Mahtab Shahin, Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Sadok Ben Yahia, Syed Attique Shah, Dirk Draheim

Proceedings of the BDET 2021: The 3rd International Conference on Big Data Engineering and Technology, 2021

2020

On the Potential of Numerical Association Rule Mining.

Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Mahtab Shahin, Sadok Ben Yahia, Dirk Draheim

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

Expected vs. Unexpected: Selecting Right Measures of Interestingness.

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values.

Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Syed Attique Shah, Sadok Ben Yahia

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020