tag:joss.theoj.org,2005:/papers/tagged/datamining?page=2Journal of Open Source Software2021-04-16T03:59:33ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/21492021-04-16T03:59:33Z2021-04-17T00:01:00ZPySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD)acceptedv0.32020-11-06 13:20:18 UTC602021-04-16 03:59:33 UTC620212862GianmarcoMengaldoDepartment of Mechanical Engineering, National University of Singapore (SG)0000-0002-0157-5477RomitMaulikArgonne Leadership Computing Facility, Argonne National Laboratory (USA)10.21105/joss.02862https://doi.org/10.5281/zenodo.4680581Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02862.pdfdynamical systems, nonlinear dynamics, data-driven dynamics, data miningtag:joss.theoj.org,2005:Paper/16662021-02-04T01:07:56Z2021-02-15T11:30:43ZAutoFunc: A Python package for automating and verifying functional modelingacceptedv0.2.12020-05-21 19:07:14 UTC582021-02-04 01:07:56 UTC620212362AlexMikesDesign Engineering Lab, Oregon State UniversityKatherineEdmondsDesign Engineering Lab, Oregon State UniversityRobertB.StoneDesign Engineering Lab, Oregon State UniversityBryonyDuPontDesign Engineering Lab, Oregon State University10.21105/joss.02362https://doi.org/10.5281/zenodo.4482795Pythonhttps://joss.theoj.org/papers/10.21105/joss.02362.pdfengineering design, functional modeling, design repository, data miningtag:joss.theoj.org,2005:Paper/20002020-12-05T19:44:28Z2021-02-15T11:30:02ZSCALAR - A Platform for Real-time Machine Learning Competitions on Data Streamsacceptedv0.12020-08-31 07:49:44 UTC562020-12-05 19:44:28 UTC520202676NedeljkoRadulovicLTCI, Télécom Paris, IP-Paris, Paris, FranceDihiaBouleganeLTCI, Télécom Paris, IP-Paris, Paris, France, Orange Labs, Grenoble, FranceAlbertBifetLTCI, Télécom Paris, IP-Paris, Paris, France, University of Waikato, New Zealand10.21105/joss.02676https://doi.org/10.5281/zenodo.4299807Python, Java, Rhttps://joss.theoj.org/papers/10.21105/joss.02676.pdfStream Data Mining, Real-time Machine Learning, Information Flow Processingtag:joss.theoj.org,2005:Paper/20192020-10-09T13:13:36Z2022-01-18T11:44:23Zmedrxivr: Accessing and searching medRxiv and bioRxiv preprint data in Racceptedv0.0.32020-09-08 11:48:52 UTC542020-10-09 13:13:36 UTC520202651LukeA.McGuinnessDepartment of Population Health Science, University of Bristol, MRC Intergrative Epidemiology Unit, University of BristolLenaSchmidtDepartment of Population Health Science, University of Bristol0000-0003-0709-822610.21105/joss.02651https://doi.org/10.5281/zenodo.3860023Rhttps://joss.theoj.org/papers/10.21105/joss.02651.pdfsystematic review, evidence synthesis, bibliographic databasetag:joss.theoj.org,2005:Paper/18502020-08-26T12:31:23Z2021-02-15T11:30:17ZDisimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Pythonacceptedv0.12020-07-11 11:57:40 UTC522020-08-26 12:31:23 UTC520202527LeeviKerkeläUCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom0000-0001-9446-4305FabioNeryUCL Great Ormond Street Institute of Child Health, University College London, London, United KingdomMattG.HallNational Physical Laboratory, Teddington, United Kingdom, UCL Great Ormond Street Institute of Child Health, University College London, London, United KingdomChrisA.ClarkUCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom10.21105/joss.02527https://doi.org/10.5281/zenodo.4001687Pythonhttps://joss.theoj.org/papers/10.21105/joss.02527.pdfdiffusion MRI, neuroscience, microstructuretag:joss.theoj.org,2005:Paper/18132020-07-01T17:21:44Z2021-02-15T11:30:23Zchirps: API Client for the CHIRPS Precipitation Data in Racceptedv0.1.02020-07-01 09:15:25 UTC512020-07-01 17:21:44 UTC520202419Kauêde SousaDepartment of Agricultural Sciences, Inland Norway University of Applied Sciences, Hamar, Norway, Bioversity International, Rome, Italy0000-0002-7571-7845AdamH.SparksCentre for Crop Health, University of Southern Queensland, Toowoomba, Australia0000-0002-0061-8359WilliamAshmallUniversities Space Research Association, National Aeronautics and Space Administration (NASA), Huntsville, USAJacobvan EttenBioversity International, Rome, Italy0000-0001-7554-2558SveinØ.SolbergDepartment of Agricultural Sciences, Inland Norway University of Applied Sciences, Hamar, Norway0000-0002-4491-448310.21105/joss.02419https://doi.org/10.5281/zenodo.3925143Rhttps://joss.theoj.org/papers/10.21105/joss.02419.pdfCHIRPS, climate data, climatology, earth science, evapotranspiration, precipitation data, reproducibility, weather datatag:joss.theoj.org,2005:Paper/9272019-11-14T17:49:35Z2021-02-15T11:32:24ZPDFIO: PDF Reader Library for native Juliaacceptedv0.1.12019-03-15 03:14:23 UTC432019-11-14 17:49:35 UTC420191453SambitKumarDashDirector, Lenatics Solutions Pvt. Ltd.0000-0003-4856-724410.21105/joss.01453https://doi.org/10.5281/zenodo.3541938Juliahttps://joss.theoj.org/papers/10.21105/joss.01453.pdfPDF, document archive, data extraction, text extraction, data mining, data managementtag:joss.theoj.org,2005:Paper/10272019-09-04T15:48:59Z2021-02-15T11:32:06ZSmartEDA: An R Package for Automated Exploratory Data Analysisacceptedv0.3.12019-06-04 10:12:20 UTC412019-09-04 15:48:59 UTC420191509SayanPutatundaVMware Software India Pvt ltd.0000-0002-6477-0376DayanandaUbrangalaVMware Software India Pvt ltd.KiranRamaVMware Software India Pvt ltd.RaviKondapalliVMware Software India Pvt ltd.10.21105/joss.01509https://doi.org/10.5281/zenodo.3383824Rhttps://joss.theoj.org/papers/10.21105/joss.01509.pdfExploratory Data Analysis, Data Miningtag:joss.theoj.org,2005:Paper/10242019-07-18T12:24:18Z2021-02-15T11:32:07ZSTUMPY: A Powerful and Scalable Python Library for Time Series Data Miningacceptedv1.02019-06-03 20:50:31 UTC392019-07-18 12:24:18 UTC420191504SeanM.LawTD Ameritrade0000-0003-2594-196910.21105/joss.01504https://doi.org/10.5281/zenodo.3340125Pythonhttps://joss.theoj.org/papers/10.21105/joss.01504.pdftime series analysis, data science, anomaly detection, pattern matching, machine learningtag:joss.theoj.org,2005:Paper/8242019-04-14T13:14:07Z2021-02-15T11:32:37ZPyClustering: Data Mining Libraryaccepted0.8.22019-01-22 13:07:35 UTC362019-04-14 13:14:07 UTC420191230AndreiV.NovikovIndependent Researcher0000-0002-9666-914110.21105/joss.01230https://doi.org/10.5281/zenodo.2636831C++, C, PowerShell, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01230.pdfpyclustering, data mining, clustering, cluster analysis, oscillatory network, machine learning, engineering, python