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Predicting student retention in TTU by using linear programming in data miningÜbi, Jaan; Übi, Evald17th International conference on "Mathematical Modelling and Analysis" : June 6-9, 2012, Tallinn, Estonia : abstracts2012 / p. 140

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77

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Predicting students' behavior during an e-learning course using data miningUmbleja, Kadri; Ichino, ManabuInteractive Collaborative Learning : proceedings of the 19th ICL Conference. Volume 22017 / p. 175-189 https://doi.org/10.1007/978-3-319-50340-0_14 Journal metrics at Scopus Article at Scopus

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78

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Processing and filtering digital fault recorder events for load model estimationLeinakse, Madis; Kilter, Jako2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 8-21 October, 2021 : proceedings2021 / 5 p https://doi.org/10.1109/ISGTEurope52324.2021.9640026

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Estimation and conversion of static load models of aggregated transmission system loads = Ülekandevõrgu sõlmekoormuste staatiliste koormusmudelite määramine ja teisendamine

79

journal article

Processor vulnerability detection with the aid of assertions : RISC-V case studyHeidari Iman, Mohammad Reza; Ahmadi-Pour, Sallar; Drechsler, Rolf; Ghasempouri, Taratechrxiv.org2024 / p. 1-8 : ill https://doi.org/10.36227/techrxiv.172101134.45466090/v1

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Enhancing assertion-based verification in hardware designs through data mining algorithms = Andmekaeve algoritmide kasutamine riistvarasüsteemide väidete-põhise verifitseerimise parendamiseks

80

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Productivity in innovation and new product developmentMatsi, Birthe; Otto, Tauno; Roosimölder, LembitProceedings of the 7th International Conference of DAAAM Baltic Industrial Engineering : 22-24th April 2010, Tallinn, Estonia. [I]2010 / p. 142-147 : ill

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81

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Relation learning with bar chartsLints, TaivoIA'09 : IEEE Symposium on Intelligent Agents : Nashville, Tennessee, US, March 30-April 2, 20092009 / p. 77-83 https://ieeexplore.ieee.org/document/4927503

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82

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RTL assertion mining with automated RTL-to-TLM abstractionGhasempouri, Tara; Danese, Alessandro; Pravadelli, Graziano; Bombieri, Nicola; Raik, JaanProceedings of the 2019 Forum on specification & Design Languages (FDL)2019 / 8 p. : ill https://doi.org/10.1109/FDL.2019.8876941

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83

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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 Conference proceeding at Scopus Article at Scopus Article at WOS

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Efficient and effective association rule mining on big data and cloud technology : a multifaceted analysis = Tõhus ja efektiivne assotsiatsioonireeglite kaevandamine suurandmetel ja pilvetehnoloogial : mitmekülgne analüüs

84

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Some algorithms for data table (re)ordering using monotone systemsVõhandu, Leo; Kuusik, Rein, inform.; Torim, Ants; Aab, Eik; Lind, GreteProceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases : Madrid, Spain, February 15-17, 20062006 / p. 417-422 https://www.researchgate.net/publication/251851216_Some_algorithms_for_data_table_reordering_using_Monotone_Systems

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85

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Some developments of determinacy analysisKuusik, Rein, inform.; Lind, GreteAdvanced Data Mining and Applications : the 6th International Conference ADMA2010 : Chongqing, China, November 19-21, 2010 : proceedings. Part I2010 / p. 593-602 https://link.springer.com/chapter/10.1007/978-3-642-17316-5_57

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86

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Some ideas for determinacy analysis realisationLind, Grete; Kuusik, Rein, inform.Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing : Palma de Mallorca (Spain), August 29-31, 20072007 / p. 185-190

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87

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Some monotone systems algorithms for data miningVõhandu, Leo; Kuusik, Rein, inform.; Torim, Ants; Aab, Eik; Lind, GreteWSEAS transactions on information science and applications2006 / 4, p. 802-809

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88

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Some problems in determinacy analysis approaches developmentLind, Grete; Kuusik, Rein, inform.Proceedings of the 2008 International Conference on Data Mining (DMIN 2008) : Las Vegas, Nevada, USA, July 14-17, 2008. I2008 / p. 102-108 https://link.springer.com/chapter/10.1007/978-3-642-17316-5_57

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89

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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

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Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe

90

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Towards early public health emergency anticipating with emerging non-health data per seSemassel, Imed Eddine; Ben Yahia Sadok12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System2023 / p. 530 - 546 https://doi.org/10.1007/978-3-031-25344-7_49 Conference Proceedings at Scopus Article at Scopus

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91

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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

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Uniﬁcation of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks

92

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An unsupervised framework for detecting anomalous messages from syslog log filesVaarandi, Risto; Blumbergs, Bernhards; Kont, MarkusNetwork operations and management symposium : cognitive mangement in a cyber world, 23-27 april 2018, Taipei, Taiwan2018 / 6 p http://doi.org/10.1109/NOMS.2018.8406283

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93

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Using mandatory concepts for knowledge discovery and data structuringElloumi, Samir; Ben Yahia, Sadok; Al Ja’am, JihadDatabase and Expert Systems Applications : 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II2019 / p. 362 - 375 https://doi.org/10.1007/978-3-030-27618-8_27 Conference proceeding at Scopus Article at Scopus Conference proceeding at WOS Article at WOS

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94

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Uute mustrite avastamine järjestamise ja maatriksi ümberkorraldamisega : [autori doktoritööst]Liiv, InnarInseneeria2009 / 8(9), lk. 44-46 : ill https://artiklid.elnet.ee/record=b1140684*est

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95

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Web systems evaluation on users' behaviour modellingRobal, Tarmo; Kalja, AhtoDatabases and information systems V : selected papers from the Eighth International Baltic Conference, DBAMPIS 20082009 / p. 41-52 : ill

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96

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Wind power variation identification using ramping behavior analysisMishra, Sambeet; Leinakse, Madis; Palu, IvoEnergy procedia2017 / p. 565−571 : ill https://doi.org/10.1016/j.egypro.2017.11.075 Conference proceedings at Scopus Article at Scopus Article at WOS

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97

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Visual matrix explorer for collaborative seriationLiiv, Innar; Öpik, Rain; Übi, Jaan; Stasko, JohnWiley interdisciplinary reviews : computational statistics2012 / p. 85-97 https://www.deepdyve.com/lp/wiley/visual-matrix-explorer-for-collaborative-seriation-Mc5ryKrGod

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98

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Visualization and data mining method for inventory classificationLiiv, Innar2007 IEEE International Conference on Service Operations and Logistics, and Informatics : Philadelphia, USA, August 27-29, 20072007 / p. 472-477 https://ieeexplore.ieee.org/document/4383909

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