Rahul Sharma

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Top Venues

Publications

Vipin Deval, Vimal Kumar Dwivedi, Abhishek Dixit, Alex Norta, Syed Attique Shah, Rahul Sharma, Dirk Draheim
Mobile Smart Contracts: Exploring Scalability Challenges and Consensus Mechanisms. IEEE Access 12 (2024)
Minakshi Kaushik, Rahul Sharma, Iztok Fister Jr., Dirk Draheim
Numerical Association Rule Mining: A Systematic Literature Review. CoRR (2023)
Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Mahtab Shahin, Dirk Draheim
On Observing Patterns of Correlations During Drill-Down. iiWAS (2023)
Debjani Ghosh, Mayank Pandey, Chakrapani Gautam, Ankit Vidyarthi, Rahul Sharma, Dirk Draheim
Utilizing Continuous Time Markov Chain for analyzing video-on-demand streaming in multimedia systems. Expert Syst. Appl. 223 (2023)
Minakshi Kaushik, Rahul Sharma, Dirk Draheim
Discretizing Numerical Attributes: An Analysis of Human Perceptions. CoRR (2023)
Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Mahtab Shahin, Ankit Vidyarthi, Prayag Tiwari, Dirk Draheim
Why Not to Trust Big Data: Discussing Statistical Paradoxes. DASFAA (Workshops) (2022)
Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Markus Bertl, Ankit Vidyarthi, Ashwani Kumar, Dirk Draheim
Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning. ADBIS (Short Papers) (2022)
Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Alexandre Bazin, Syed Attique Shah, Iztok Fister Jr., Sadok Ben Yahia, Dirk Draheim
A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning. IEEE Access 10 (2022)
Minakshi Kaushik, Rahul Sharma, Mahtab Shahin, Sijo Arakkal Peious, Dirk Draheim
An Analysis of Human Perception of Partitions of Numerical Factor Domains. iiWAS (2022)
Mahtab Shahin, Mohammad Reza Heidari Iman, Minakshi Kaushik, Rahul Sharma, Tara Ghasempouri, Dirk Draheim
Exploring Factors in a Crossroad Dataset Using Cluster-Based Association Rule Mining. ANT/EDI40 (2022)
Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Mahtab Shahin, Amrendra Singh Yadav, Dirk Draheim
Towards Unification of Statistical Reasoning, OLAP and Association Rule Mining: Semantics and Pragmatics. DASFAA (1) (2022)
Minakshi Kaushik, Rahul Sharma, Ankit Vidyarthi, Dirk Draheim
Discretizing Numerical Attributes: An Analysis of Human Perceptions. ADBIS (Short Papers) (2022)
Rahul Sharma, Huseyn Garayev, Minakshi Kaushik, Sijo Arakkal Peious, Prayag Tiwari, Dirk Draheim
Detecting Simpson's Paradox: A Machine Learning Perspective. DEXA (1) (2022)
Ankit Vidyarthi, Ruchi Agarwal, Deepak Gupta, Rahul Sharma, Dirk Draheim, Prayag Tiwari
Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors. IEEE Access 10 (2022)
Mahtab Shahin, Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Sadok Ben Yahia, Syed Attique Shah, Dirk Draheim
Big Data Analytics in Association Rule Mining: A Systematic Literature Review. BDET (2021)
Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Mahtab Shahin, Sadok Ben Yahia, Dirk Draheim
A Systematic Assessment of Numerical Association Rule Mining Methods. SN Comput. Sci. 2 (5) (2021)
Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Dirk Draheim
Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning. BDA (2021)
Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim
Expected vs. Unexpected: Selecting Right Measures of Interestingness. DaWaK (2020)
Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Syed Attique Shah, Sadok Ben Yahia
Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values. DaWaK (2020)
Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Mahtab Shahin, Sadok Ben Yahia, Dirk Draheim
On the Potential of Numerical Association Rule Mining. FDSE (CCIS Volume) (2020)