Minakshi Kaushik

Orcid: 0000-0002-6658-1712

Affiliations:

Tallinn University of Technology, Estonia

According to our database¹, Minakshi Kaushik authored at least 18 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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PhD thesis

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Bibliography

2024

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

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

Discretizing Numerical Attributes: An Analysis of Human Perceptions.

[BibT_eX]

[DOI]

Minakshi Kaushik

Rahul Sharma

Dirk Draheim

CoRR, 2023

Numerical Association Rule Mining: A Systematic Literature Review.

[BibT_eX]

[DOI]

CoRR, 2023

On Observing Patterns of Correlations During Drill-Down.

[BibT_eX]

[DOI]

Proceedings of the Information Integration and Web Intelligence, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Access, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Information Integration and Web Intelligence, 2022

Detecting Simpson's Paradox: A Machine Learning Perspective.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

Why Not to Trust Big Data: Discussing Statistical Paradoxes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mahtab Shahin

Mohammad Reza Heidari Iman

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

Discretizing Numerical Attributes: An Analysis of Human Perceptions.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

A Systematic Assessment of Numerical Association Rule Mining Methods.

[BibT_eX]

[DOI]

SN Comput. Sci., 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Minakshi Kaushik

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