Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values. - Sijo Arakkal Peious; Rahul Sharma 011; Minakshi Kaushik; Syed Attique Shah; Sadok Ben Yahia (DaWaK, 2020)

Expected vs. Unexpected: Selecting Right Measures of Interestingness. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Sadok Ben Yahia; Dirk Draheim (DaWaK, 2020)

On the Potential of Numerical Association Rule Mining. - Minakshi Kaushik; Rahul Sharma 011; Sijo Arakkal Peious; Mahtab Shahin; Sadok Ben Yahia; Dirk Draheim (FDSE (CCIS Volume), 2020)

Big Data Analytics in Association Rule Mining: A Systematic Literature Review. - Mahtab Shahin; Sijo Arakkal Peious; Rahul Sharma 011; Minakshi Kaushik; Sadok Ben Yahia; Syed Attique Shah; Dirk Draheim (BDET, 2021)

Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning. - Minakshi Kaushik; Rahul Sharma 011; Sijo Arakkal Peious; Dirk Draheim (BDA, 2021)

A Systematic Assessment of Numerical Association Rule Mining Methods. - Minakshi Kaushik; Rahul Sharma 011; Sijo Arakkal Peious; Mahtab Shahin; Sadok Ben Yahia; Dirk Draheim (SN Comput. Sci., 2021)

Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Markus Bertl; Ankit Vidyarthi; Ashwani Kumar 004; Dirk Draheim (ADBIS (Short Papers), 2022)

Discretizing Numerical Attributes: An Analysis of Human Perceptions. - Minakshi Kaushik; Rahul Sharma 011; Ankit Vidyarthi; Dirk Draheim (ADBIS (Short Papers), 2022)

Exploring Factors in a Crossroad Dataset Using Cluster-Based Association Rule Mining. - Mahtab Shahin; Mohammad Reza Heidari Iman; Minakshi Kaushik; Rahul Sharma 011; Tara Ghasempouri; Dirk Draheim (ANT/EDI40, 2022)

Why Not to Trust Big Data: Discussing Statistical Paradoxes. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Mahtab Shahin; Ankit Vidyarthi; Prayag Tiwari; Dirk Draheim (DASFAA (Workshops), 2022)

Towards Unification of Statistical Reasoning, OLAP and Association Rule Mining: Semantics and Pragmatics. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Mahtab Shahin; Amrendra Singh Yadav; Dirk Draheim (DASFAA (1), 2022)

Detecting Simpson's Paradox: A Machine Learning Perspective. - Rahul Sharma 011; Huseyn Garayev; Minakshi Kaushik; Sijo Arakkal Peious; Prayag Tiwari; Dirk Draheim (DEXA (1), 2022)

An Analysis of Human Perception of Partitions of Numerical Factor Domains. - Minakshi Kaushik; Rahul Sharma 011; Mahtab Shahin; Sijo Arakkal Peious; Dirk Draheim (iiWAS, 2022)

A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Alexandre Bazin; Syed Attique Shah; Iztok Fister Jr.; Sadok Ben Yahia; Dirk Draheim (IEEE Access, 2022)

Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors. - Ankit Vidyarthi; Ruchi Agarwal; Deepak Gupta 002; Rahul Sharma 011; Dirk Draheim; Prayag Tiwari (IEEE Access, 2022)

On Observing Patterns of Correlations During Drill-Down. - Sijo Arakkal Peious; Rahul Sharma 011; Minakshi Kaushik; Mahtab Shahin; Dirk Draheim (iiWAS, 2023)

Future Opportunities for Systematic AI Support in Healthcare. - Markus Bertl; Gunnar Piho; Dirk Draheim; Peeter Ross; Ludwig Pechmann; Nicholas Bucciarelli; Rahul Sharma 011 (AISoLA (Selected Papers), 2023)

Numerical Association Rule Mining: A Systematic Literature Review. - Minakshi Kaushik; Rahul Sharma 011; Iztok Fister Jr.; Dirk Draheim (CoRR, 2023)

Discretizing Numerical Attributes: An Analysis of Human Perceptions. - Minakshi Kaushik; Rahul Sharma 011; Dirk Draheim (CoRR, 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 011; Dirk Draheim (Expert Syst. Appl., 2023)

Mobile Smart Contracts: Exploring Scalability Challenges and Consensus Mechanisms. - Vipin Deval; Vimal Kumar Dwivedi; Abhishek Dixit 003; Alex Norta; Syed Attique Shah; Rahul Sharma 011; Dirk Draheim (IEEE Access, 2024)

An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining. - Minakshi Kaushik; Rahul Sharma 011; Pilleriin Kõiva; Iztok Fister Jr.; Dirk Draheim (IEEE Access, 2024)