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ORCIDMinakshi Kaushik
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- affiliation: Tallinn University of Technology, Estonia
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2020 – today
- 2023
[c13]Sijo Arakkal Peious
, Rahul Sharma, Minakshi Kaushik, Mahtab Shahin, Dirk Draheim:
On Observing Patterns of Correlations During Drill-Down. iiWAS 2023: 134-143- [i2]Minakshi Kaushik, Rahul Sharma, Iztok Fister Jr., Dirk Draheim:
Numerical Association Rule Mining: A Systematic Literature Review. CoRR abs/2307.00662 (2023) - [i1]Minakshi Kaushik, Rahul Sharma, Dirk Draheim:
Discretizing Numerical Attributes: An Analysis of Human Perceptions. CoRR abs/2311.03278 (2023) - 2022
- [j2]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) - [c12]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]Minakshi Kaushik, Rahul Sharma, Ankit Vidyarthi, Dirk Draheim:
Discretizing Numerical Attributes: An Analysis of Human Perceptions. ADBIS (Short Papers) 2022: 188-197 - [c10]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]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]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]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]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]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]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]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]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]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]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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