Big data analytics in association rule mining : a systematic literature reviewShahin, Mahtab; Arakkal Peious, Sijo; Sharma, Rahul; Kaushik, Minakshi; Ben Yahia, Sadok; Shah, Syed Attique; Draheim, DirkBDET 2021: 2021 the 3rd International Conference on Big Data Engineering and Technology (BDET) : proceedings2021 / p. 40-49 https://doi.org/10.1145/3474944.3474951 Conference Proceedings at Scopus Article at Scopus

Cluster-based association rule mining for an intersection accident datasetShahin, Mahtab; Saeidi, Soheila; Shah, Syed Attique; Kaushik, Minakshi; Sharma, Rahul; Arakkal Peious, Sijo; Draheim, Dirk2021 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), 26-27 November 2021 : proceedings2021 / 6 p https://doi.org/10.1109/ICECube53880.2021.9628206

Detecting Simpson’s paradox : a machine learning perspectiveSharma, Rahul; Garayev, Huseyn; Kaushik, Minakshi; Arakkal Peious, Sijo; Tiwari,Prauag; Draheim, DirkDatabase and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings. Part I2022 / p. 323-335 : ill https://doi.org/10.1007/978-3-031-12423-5_25 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

Detecting Simpson’s paradox : a step towards fairness in machine learningSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Bertl, Markus; Ankit, Vidyarthi; Ashwani, Kumar; Draheim, DirkNew Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022 : proceedings2022 / p. 67-76 : ill https://doi.org/10.1007/978-3-031-15743-1_7 Conference proceedings at Scopus Article at Scopus Article at WOS

Discretizing numerical attributes : an analysis of human perceptionsKaushik, Minakshi; Sharma, Rahul; Draheim, DirkarXiv.org2023 / 18 p. : ill https://doi.org/10.48550/arXiv.2311.03278

Discretizing numerical attributes : an analysis of human perceptions : [conference paper]Kaushik, Minakshi; Sharma, Rahul; Vidyarthi, Ankit; Draheim, DirkNew Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022 : proceedings2022 / p. 188-197 https://doi.org/10.1007/978-3-031-15743-1_18 Conference proceedings at Scopus Article at Scopus Article at WOS

Existence of the Yule-Simpson effect : an experiment with continuous dataSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Shahin, Mahtab; Vidyarthi, Ankit; Draheim, DirkProceedings of the Confluence 2022 : 12th International Conference on Cloud Computing, Data Science & Engineering, 27-28 January 2022 : Virtual2022 / p. 351-355 https://doi.org/10.1109/Confluence52989.2022.9734211

Expected vs. unexpected : selecting right measures of interestingnessSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Ben Yahia, Sadok; Draheim, DirkBig Data Analytics and Knowledge Discovery : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020 : proceedings2020 / p. 38-47 https://doi.org/10.1007/978-3-030-59065-9_4 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

Exploring factors in a crossroad dataset using cluster-based association rule miningShahin, Mahtab; Heidari Iman, Mohammadreza; Kaushik, Minakshi; Sharma, Rahul; Ghasempouri, Tara; Draheim, DirkProcedia Computer Science : The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40)2022 / p. 231-238 https://doi.org/10.1016/j.procs.2022.03.032 Conference Proceedings at Scopus Article at Scopus

Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpeKaushik, Minakshi2024 https://www.ester.ee/record=b5652676*est https://digikogu.taltech.ee/et/Item/b3fc493d-b245-43e2-bd37-87d749cca028 https://doi.org/10.23658/taltech.6/2024

Grand reports : a tool for generalizing association rule mining to numeric target valuesArakkal Peious, Sijo; Sharma, Rahul; Kaushik, Minakshi; Shah, Syed Attique; Ben Yahia, SadokBig Data Analytics and Knowledge Discovery : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020 : Proceedings2020 / p. 28-37 https://doi.org/10.1007/978-3-030-59065-9_3 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

Impact-driven discretization of numerical factors : case of two- and three-partitioningKaushik, Minakshi; Sharma, Rahul; Arakkal Peious, Sijo; Draheim, DirkBig Data Analytics. BDA 2021 : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021 : proceedings2021 / p. 244–260 https://doi.org/10.1007/978-3-030-93620-4_18 Conference Proceedings at Scopus Article at Scopus

A novel framework for unification of association rule mining, online analytical processing and statistical reasoningSharma, Rahul; Kaushik, Minakshi; Peious, Sijo Arakkal; Bazin, Alexandre; Shah, Syed Attique; Istok, Fister jr.; Ben Yahia, Sadok; Draheim, DirkIEEE Access2022 / p. 12792-12813 https://doi.org/10.1109/ACCESS.2022.3142537 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Numerical association rule mining : a systematic literature reviewKaushik, Minakshi; Sharma, Rahul; Fister, Iztok jr.; Draheim, DirkarXiv.org2023 / 50 p. : ill https://doi.org/10.48550/arXiv.2307.00662

An analysis of human perception of partitions of numerical factor domainsKaushik, Minakshi; Sharma, Rahul; Shahin, Mahtab; Peious, Sijo Arakkal; Draheim, DirkLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Vol. 13635 LNCS2022 / p. 137-144 https://doi.org/10.1007/978-3-031-21047-1_13 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

On the potential of numerical association rule miningKaushik, Minakshi; Sharma, Rahul; Arakkal Peious, Sijo; Shahin, Mahtab; Ben Yahia, Sadok; Draheim, DirkFuture Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications : 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020 : proceedings2020 / p. 3-20 https://doi.org/10.1007/978-981-33-4370-2_1 Conference proceeding at Scopus Article at Scopus

Swarm-intelligence algorithms for mining numerical association rules : an exhaustive multi-aspect analysis of performance assessment dataKaushik, Minakshi; Kõiva, Pilleriin; Sharma, Rahul; Fister, Iztok jr.; Draheim, DirkSSRN2023 / 37 p https://ssrn.com/abstract=4399331

A systematic assessment of numerical association rule mining methodsKaushik, Minakshi; Sharma, Rahul; Arakkal Peious, Sijo; Shahin, Mahtab; Ben Yahia, Sadok; Draheim, DirkSN Computer Science2021 / art. 348 https://doi.org/10.1007/s42979-021-00725-2 Journal metrics at Scopus Article at scopus

Towards unification of statistical reasoning, OLAP and association rule mining : semantics and pragmaticsSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Shahin, Mahtab; Draheim, DirkDatabase Systems for Advanced Applications : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022 : proceedings. Part I2022 / p. 596–603 https://doi.org/10.1007/978-3-031-00123-9_48 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

Why not to trust big data : discussing statistical paradoxesSharma, Rahul; Kaushik, Minakshi; Peious, Sijo Arakkal; Shahin, Mahtab; Vidyarthi, Ankit; Tiwari, Prayag; Draheim, DirkDatabase Systems for Advanced Applications : DASFAA 2022, International Workshops BDMS, BDQM, GDMA, IWBT, MATQTDS, and PMBD, Virtual Event, April 11–14, 2022 : proceedings2022 / p. 50-63 : ill https://doi.org/10.1007/978-3-031-11217-1_4 Conference Proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS