• Anomalous File System Activity detection through Temporal Association rule miningReza, M.; Iman, H.; Chikul, Pavel; Jervan, Gert; Bahsi, Hayretdin; Ghasempouri, TaraProceedings of the 9th International Conference on Information Systems Security and Privacy ICISSP. Vol. 12023 / p. 733-740 https://doi.org//10.5220/0000168400003405
• ARTmine : automatic association rule mining with temporal behavior for hardware verificationHeidari Iman, Mohammad Reza; Jervan, Gert; Ghasempouri, Tara2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) : Valencia, Spain, 25-27 March 2024 : proceedings2024 / p. 1-6 : ill https://ieeexplore.ieee.org/document/10546742
• 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 https://www.scopus.com/sourceid/11600154611 https://www.scopus.com/record/display.uri?eid=2-s2.0-85118187459&origin=inward&txGid=03bbb89897498d74fe2838293db23239
• 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
• DatApollo : Orchestration of serverless functions for scalable data miningShahin, Mahtab; Bertl, Markus; Janatian, Nasim; Aznar-Poveda, Juan; Shah, Syed Attique; Fahringer, Thomas; Arakkal Peious, Sijo; Draheim, DirkIEEE Access2025 / p. 142813-142828 https://doi.org/10.1109/ACCESS.2025.3591712
• Distributed scalable association rule mining over Covid-19 dataShahin, Mahtab; Inoubli, Wissem; Shah, Syed Attique; Ben Yahia, Sadok; Draheim, DirkFuture Data and Security Engineering : 8th International Conference, FDSE 2021, Virtual Event, November 24–26, 2021 : proceedings2021 / p. 39-52 https://doi.org/10.1007/978-3-030-91387-8_3 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85121143505&origin=inward&txGid=b599e3fc3ba58faf2d4c54cee671344d
• An exhaustive multi-aspect analysis of swarm intelligence algorithms in numerical association rule miningKaushik, Minakshi; Sharma, Rahul; Koiva, Pilleriin; Fister, Iztok; Draheim, DirkIEEE Access2024 / p. 138985 - 139002 https://doi.org/10.1109/ACCESS.2024.3417334 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/pages/publications/85196710194?inward https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2024 https://www.webofscience.com/wos/woscc/full-record/WOS:001327298800001
• 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 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85091486892&origin=inward&txGid=2e94def5d38f8bbd90a5cb9bdbb9f595 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000886528600004
• Exploring factors in a crossroad dataset using cluster-based association rule miningShahin, Mahtab; Heidari Iman, Mohammad Reza; Kaushik, Minakshi; Sharma, Rahul; Ghasempouri, Tara; Draheim, DirkProcedia computer science2022 / p. 231-238 : ill https://doi.org/10.1016/j.procs.2022.03.032 https://www.scopus.com/sourceid/19700182801 https://www.scopus.com/record/display.uri?eid=2-s2.0-85132188116&origin=inward&txGid=2f2ed8feec1196d5f8ec3b79fcee4c88
• 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 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85091524337&origin=inward&txGid=55a36caa612e234b3124e0d4bf475689 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000886528600003
• 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 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85122580898&origin=inward&txGid=15bb38d4ded468a239b7ede274bb5937
• A novel framework for unification of association rule mining, online analytical processing and statistical reasoningSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; 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 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85123301116&origin=inward&txGid=f796eb16e9fd8a4dbcd2defcab6e9696 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000751358200001
• On measuring confounding bias in mixed multidimensional data : case of coerced multiple linear regression adjustmentArakkal Peious, Sijo; Kaushik, Minakshi; Shah, Syed Attique; Sharma, Rahul; Suran, Shweta; Draheim, DirkICT for Intelligent Systems : proceedings of ICTIS 2024. Vol. 62024 / p. 329–342 https://doi.org/10.1007/978-981-97-6684-0_27 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/pages/publications/85215662043?inward
• 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 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85097395086&origin=inward&txGid=a12a6d463ea9145980cceba68e4d3197
• Orchestration of serverless functions for scalable association rule mining with ApolloShahin, Mahtab; Janatian, Nasim; Poveda, Juan Aznar; Fahringer, Thomas; Ghasempouri, Tara; Shah, Syed Attique; Draheim, Dirktechrxiv.org2024 / 20 p https://doi.org//10.36227/techrxiv.172101151.16682756/v1
• Performance of a distributed apriori algorithm using the serverless functions of the Apollo frameworkShahin, Mahtab; Shah, Syed Attique; Sharma, Rahul; Ghasempouri, Tara; Poveda, Juan Aznar; Fahringer, Thomas; Draheim, DirkMachine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 20242024 / 12 p https://link.springer.com/book/9783031705946 https://doi.org/10.1007/978-3-031-70595-3_37 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/record/display.uri?eid=2-s2.0-85208608005&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=ALL%28%22Performance+of+a+distributed+apriori+algorithm+using+the+serverless+functions+of+the+Apollo+framework%22%29&sessionSearchId=a1950993a8713b95c4defac4e2fbf8c1&relpos=1 https://www.webofscience.com/wos/woscc/full-record/WOS:001437390900037
• Significant factors extraction : a combined logistic regression and apriori association rule mining approachShahin, Mahtab; Burtl, Markus; Heidari Iman, Mohammad Reza; Ghasempouri, Tara; Sharma, Rahul; Shah, Syed Attique; Draheim, DirkMachine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 2024 ; Vol. 42024 / p. 295-311 https://link.springer.com/book/9783031705946 https://doi.org/10.1007/978-3-031-70595-3_30 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/pages/publications/85208622501?inward https://www.webofscience.com/wos/woscc/full-record/WOS:001437390900030
• 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 https://doi.org/10.2139/ssrn.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 https://www.scopus.com/sourceid/21101083109 https://www.scopus.com/record/display.uri?eid=2-s2.0-85118170022&origin=inward&txGid=30b541b6e3ca827ed1019310954b3a2f
• 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 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85129906387&origin=inward&txGid=36195c4d0cfdc4206889d04738052798 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000873153800048