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Rahul Sharma 0011

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affiliation: Tallinn University of Technology, Estonia

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2020 – today

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2024
[j6]
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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: 34265-34288 (2024)
[j5]
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  - journals/access/KaushikSKFD24
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Minakshi Kaushik, Rahul Sharma, Pilleriin Kõiva, Iztok Fister Jr., Dirk Draheim:
An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining. IEEE Access 12: 138985-139002 (2024)
2023
[j4]
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  - journals/eswa/GhoshPGVSD23
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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: 119857 (2023)
[c14]
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  - conf/iiwas/PeiousSKSD23
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Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Mahtab Shahin, Dirk Draheim:
On Observing Patterns of Correlations During Drill-Down. iiWAS 2023: 134-143
[c13]
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  - conf/vecos/BertlPDRPBS23
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Markus Bertl, Gunnar Piho, Dirk Draheim, Peeter Ross, Ludwig Pechmann, Nicholas Bucciarelli, Rahul Sharma:
Future Opportunities for Systematic AI Support in Healthcare. AISoLA (Selected Papers) 2023: 203-224
[i2]
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  - journals/corr/abs-2307-00662
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Minakshi Kaushik, Rahul Sharma, Iztok Fister Jr., Dirk Draheim:
Numerical Association Rule Mining: A Systematic Literature Review. CoRR abs/2307.00662 (2023)
[i1]
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  - journals/corr/abs-2311-03278
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Minakshi Kaushik, Rahul Sharma, Dirk Draheim:
Discretizing Numerical Attributes: An Analysis of Human Perceptions. CoRR abs/2311.03278 (2023)
2022
[j3]
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  - journals/access/SharmaKPBSFYD22
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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: 12792-12813 (2022)
[j2]
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  - journals/access/VidyarthiAGSDT22
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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: 50624-50640 (2022)
[c12]
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  - conf/adbis/0011KPBVKD22
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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: 67-76
[c11]
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  - conf/adbis/Kaushik0VD22
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Minakshi Kaushik, Rahul Sharma, Ankit Vidyarthi, Dirk Draheim:
Discretizing Numerical Attributes: An Analysis of Human Perceptions. ADBIS (Short Papers) 2022: 188-197
[c10]
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  - conf/ant/ShahinIK0GD22
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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: 231-238
[c9]
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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: 50-63
[c8]
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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: 596-603
[c7]
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  - conf/dexa/SharmaGKPTD22
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Rahul Sharma, Huseyn Garayev, Minakshi Kaushik, Sijo Arakkal Peious, Prayag Tiwari, Dirk Draheim:
Detecting Simpson's Paradox: A Machine Learning Perspective. DEXA (1) 2022: 323-335
[c6]
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Minakshi Kaushik, Rahul Sharma, Mahtab Shahin, Sijo Arakkal Peious, Dirk Draheim:
An Analysis of Human Perception of Partitions of Numerical Factor Domains. iiWAS 2022: 137-144
2021
[j1]
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  - journals/sncs/KaushikSPSYD21
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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): 348 (2021)
[c5]
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  - conf/bdet/ShahinP0KYSD21
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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: 40-49
[c4]
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Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Dirk Draheim:
Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning. BDA 2021: 244-260
2020
[c3]
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  - conf/dawak/PeiousSKSY20
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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: 28-37
[c2]
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  - conf/dawak/SharmaKPYD20
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Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim:
Expected vs. Unexpected: Selecting Right Measures of Interestingness. DaWaK 2020: 38-47
[c1]
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  - conf/fdse/KaushikSPSYD20
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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: 3-20

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