Data-Mining Element Charges in Inorganic Materials
نویسندگان
چکیده
منابع مشابه
the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
data mining rules and classification methods in insurance: the case of collision insurance
assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولAutonomous data-driven design of inorganic materials with AFLOW
The expansion of programmatically-accessible materials data has cultivated opportunities for data-driven approaches. Highlyautomated frameworks like AFLOW not only manage the generation, storage, and dissemination of materials data, but also leverage the information for thermodynamic formability modeling, such as the prediction of phase diagrams and properties of disordered materials. In combin...
متن کاملPorous Inorganic Materials
M41S: A family of mesoporous materials including MCM41, MCM-48, and MCM-50 MSU-1,2,3,4: Michigan State University no. 1, 2, 3, 4, a series of wormhole mesoporous materials prepared in the presence of nonionic surfactants Pluronic: polyethylene oxide–polypropylene oxide triblock surfactant, (EO)m(PO)n(EO)m, for example, P123 = (EO)20 (PO)70(EO)20 SBA-x: Santa Barbara no. x, a series of mesoporou...
متن کاملData Mining in R using Rattle
This paper is a brief introduction to the concepts, methods and algorithms for data mining in statistical software R using a package named Rattle. Rattle provides a good graphical environment to perform some of the procedures and algorithms without the need for programming. Some parts of the package will be explained by a number of examples. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Physical Chemistry Letters
سال: 2020
ISSN: 1948-7185,1948-7185
DOI: 10.1021/acs.jpclett.0c02072