tag:joss.theoj.org,2005:/papers/tagged/Data%20MiningJournal of Open Source Software2024-01-12T08:36:31ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/50002024-01-12T08:36:31Z2024-01-13T00:00:51Zdwctaxon, an R package for editing and validating taxonomic data in Darwin Core formatacceptedv2.0.32023-12-15 08:13:29 UTC932024-01-12 08:36:31 UTC920246215JoelH.NittaGraduate School of Global and Transdisciplinary Studies, Chiba University, Japan0000-0003-4719-7472WataruIwasakiDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan, Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan0000-0002-9169-924510.21105/joss.06215https://doi.org/10.5281/zenodo.6388271Rhttps://joss.theoj.org/papers/10.21105/joss.06215.pdftaxonomy, biodiversitytag:joss.theoj.org,2005:Paper/42922023-09-22T13:55:53Z2023-09-23T10:22:37Zndcube: Manipulating N-dimensional Astronomical Data in Pythonacceptedv2.1.12023-03-09 12:20:31 UTC892023-09-22 13:55:53 UTC820235296DanielF.RyanUniversity of Applied Sciences Northwest Switzerland, Switzerland, American University, USA0000-0001-8661-3825StuartMumfordAperio Software Ltd, UK0000-0003-4217-4642YashSharmaMeta Platforms Inc., UKAnkitKumarBaruahWorkato Gmbh, GermanyAdwaitBhopeUptycs India Pvt. Ltd., India0000-0002-7133-8776NabilFreijLockheed Martin Solar and Astrophysics Laboratory, USA, Bay Area Environmental Research Institute, USA0000-0002-6253-082XLauraA.HayesEuropean Space Agency, ESTEC0000-0002-6835-2390WillT.BarnesNASA Goddard Space Flight Center, USA, American University, USA0000-0001-6874-2594BaptistePellorceClaude Bernard Lyon 1 University, France, Institute of Theoretical Astrophysics, NorwayRichardO'SteenSpace Telescope Science Institute, USA0000-0002-2432-8946DerekHomeierAperio Software Ltd, UK0000-0002-8546-9128J.MarcusHughesSouthwest Research Institute, USA0000-0003-3410-7650DavidStansbyAdvanced Research Computing Centre, University College London, UK0000-0002-1365-1908AlbertY.ShihNASA Goddard Space Flight Center, USA0000-0001-6874-2594MatthewJ.WestSouthwest Research Institute, USA0000-0002-0631-239310.21105/joss.05296https://doi.org/10.5281/zenodo.8126828Pythonhttps://joss.theoj.org/papers/10.21105/joss.05296.pdfastronomytag:joss.theoj.org,2005:Paper/39502023-03-09T21:41:24Z2023-03-10T00:04:45ZOpenMSIStream: A Python package for facilitating integration of streaming data in diverse laboratory environmentsacceptedv1.0.02022-10-07 21:45:41 UTC832023-03-09 21:41:24 UTC820234896MargaretEminizerInstitute for Data Intensive Engineering and Science (IDIES), The Johns Hopkins University, USA0000-0003-4591-2225SamTabriskyDepartment of Biology, Dartmouth College, USA, Department of Computer Science, Dartmouth College, USA, Hopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USAAmirSharifzadehInstitute for Data Intensive Engineering and Science (IDIES), The Johns Hopkins University, USA0000-0002-4100-4898ChristopherDiMarcoHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA0000-0002-2267-938XJacobM.DiamondHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA, Department of Mechanical Engineering, The Johns Hopkins University, USA0000-0001-7905-4260K.t.RameshHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA0000-0003-2659-4698ToddC.HufnagelHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA, Department of Materials Science and Engineering, The Johns Hopkins University, USA, Department of Mechanical Engineering, The Johns Hopkins University, USA0000-0002-6373-9377TyrelM.McQueenHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA, Department of Materials Science and Engineering, The Johns Hopkins University, USA, Department of Chemistry, The Johns Hopkins University, USA, Institute for Quantum Matter (IQM), William H. Miller III Department of Physics and Astronomy, The Johns Hopkins University, USA0000-0002-8493-4630DavidElbertInstitute for Data Intensive Engineering and Science (IDIES), The Johns Hopkins University, USA, Hopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA0000-0002-2292-180X10.21105/joss.04896https://doi.org/10.5281/zenodo.7713196Pythonhttps://joss.theoj.org/papers/10.21105/joss.04896.pdfdata streaming, science data, Apache Kafka, materials sciencetag:joss.theoj.org,2005:Paper/36302022-11-25T07:51:09Z2022-12-01T15:37:03ZTLViz: Visualising and analysing tensor decomposition models with Pythonacceptedv0.1.12022-05-26 07:53:29 UTC792022-11-25 07:51:09 UTC720224754MarieRoaldSimula Metropolitan Center for Digital Engineering, Norway, Oslo Metropolitan University, Norway0000-0002-9571-8829YngveMardalMoeIndependent Researcher, Norway0000-0002-5159-901210.21105/joss.04754https://doi.org/10.5281/zenodo.7274925Pythonhttps://joss.theoj.org/papers/10.21105/joss.04754.pdftensor decompositions, data mining, data visualisation, TensorLytag:joss.theoj.org,2005:Paper/36972022-11-07T08:51:46Z2022-11-08T00:00:50Zfars_cleaner: A Python package for downloading and pre-processing vehicle fatality data in the USacceptedv1.2.02022-07-01 16:28:22 UTC792022-11-07 08:51:46 UTC720224678MitchellZ.AbramsDuke University, USA0000-0001-6818-5214CameronR.BassDuke University, USA10.21105/joss.04678https://doi.org/10.5281/zenodo.7249980Pythonhttps://joss.theoj.org/papers/10.21105/joss.04678.pdfFARS, NHTSA, vehicle crash analysis, crashes, road safetytag:joss.theoj.org,2005:Paper/35212022-09-29T21:20:38Z2022-09-30T00:00:37ZNiaARM: A minimalistic framework for Numerical Association Rule Miningaccepted0.1.62022-04-27 18:52:09 UTC772022-09-29 21:20:38 UTC720224448ŽigaStupanUniversity of Maribor, Faculty of Electrical Engineering and Computer Science0000-0001-9847-7306IztokFisterUniversity of Maribor, Faculty of Electrical Engineering and Computer Science0000-0002-6418-127210.21105/joss.04448https://doi.org/10.5281/zenodo.7123879Pythonhttps://joss.theoj.org/papers/10.21105/joss.04448.pdfassociation rule mining, data mining, evolutionary algorithms, numerical association rule mining, visualizationtag:joss.theoj.org,2005:Paper/38022022-09-20T19:56:28Z2022-09-21T12:25:53ZoverviewR - Easily Explore Your Data in Racceptedv0.0.102022-08-06 07:07:11 UTC772022-09-20 19:56:28 UTC720224740CosimaMeyerUniversity of Mannheim, Germany, Both authors are currently working as data scientists in the industry.0000-0002-7472-2298DennisHammerschmidtUniversity of Mannheim, Germany, Both authors are currently working as data scientists in the industry.0000-0003-1224-194710.21105/joss.04740https://doi.org/10.5281/zenodo.7097560Rhttps://joss.theoj.org/papers/10.21105/joss.04740.pdfexploratory data analysis, time-series cross-sectional datatag:joss.theoj.org,2005:Paper/36062022-06-28T17:26:33Z2022-06-29T00:00:35ZmusclesyneRgies: factorization of electromyographic data in R with sensible defaultsaccepted1.1.32022-05-16 14:23:41 UTC742022-06-28 17:26:33 UTC720224439AlessandroSantuzDepartment of Training and Movement Sciences, Humboldt-Universität zu Berlin, Berlin, Germany, Berlin School of Movement Science, Humboldt-Universität zu Berlin, Berlin, Germany, Institute for Biomechanics, ETH Zurich, Zurich, Switzerland0000-0002-6577-510110.21105/joss.04439https://doi.org/10.5281/zenodo.6767313Rhttps://joss.theoj.org/papers/10.21105/joss.04439.pdfelectromyography, NMF, dimensionality reduction, neurophysiology, biomechanicstag:joss.theoj.org,2005:Paper/32972022-05-25T14:44:56Z2022-05-26T00:01:20ZImagedata: A Python library to handle medical image data in NumPy array subclass Seriesaccepted1.4.02022-01-19 14:31:44 UTC732022-05-25 14:44:56 UTC720224133ErlingAndersenHaukeland University Hospital, Dept. of Clinical Engineering, N-5021 Bergen, Norway, Mohn Medical Imaging and Visualization Centre, Haukeland University Hospital, Dept. of Radiology, N-5021 Bergen, Norway0000-0001-8268-120610.21105/joss.04133https://doi.org/10.5281/zenodo.6562674Pythonhttps://joss.theoj.org/papers/10.21105/joss.04133.pdfdicom, python, medical imaging, pydicom, pynetdicom, itk, niftitag:joss.theoj.org,2005:Paper/26002022-03-14T23:53:06Z2022-03-15T00:01:09ZHARDy: Handling Arbitrary Recognition of Data in Pythonacceptedv1.02021-04-26 22:46:09 UTC712022-03-14 23:53:06 UTC720223829MariaPolitiUniversity of Washington, Department of Chemical Engineering, Seattle, WA, USA0000-0002-5815-3371AbdulMoeezUniversity of Washington, Department of Materials Science and Engineering, Seattle, WA, USA0000-0002-9582-0372DavidBeckUniversity of Washington, Department of Chemical Engineering, Seattle, WA, USA, eScience Institute, University of Washington, Seattle, WA, USA0000-0002-5371-7035StuartAdlerUniversity of Washington, Department of Chemical Engineering, Seattle, WA, USALiloPozzoUniversity of Washington, Department of Chemical Engineering, Seattle, WA, USA0000-0001-7104-906110.21105/joss.03829https://doi.org/10.5281/zenodo.6339767Pythonhttps://joss.theoj.org/papers/10.21105/joss.03829.pdfFeature Engineering, Kernel methods, Machine Learning