Interactive Pattern Discovery in High-Dimensional, Multimodal Data Using Manifolds
نویسندگان
چکیده
منابع مشابه
pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)
فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...
15 صفحه اولInteractive Analysis of High-Dimensional Data using Visualization
Visually displaying data with two or three dimensions is very common. Humans can easily recognize structures in the data (such as correlations in a scatterplot, trends in a line chart, etc.) and get a better impression of the data from images than from reading numbers. Relatively recently, it has become possible to visualize high-dimensional data, and to do so with the help of the computer. Thi...
متن کاملProxiLens: Interactive Exploration of High-Dimensional Data using Projections
As dimensionality increases, analysts are faced with difficult problems to make sense of their data. In exploratory data analysis, multidimensional scaling projections can help analyst to discover patterns by identifying outliers and enabling visual clustering. However to exploit these projections, artifacts and interpretation issues must be overcome. We present ProxiLens, a semantic lens which...
متن کاملInteractive High-Dimensional Data Analysis Using The "Three Experts"
With the increasing availability of data from various domains such as health care, finance, social networks, etc. there is a need to provide analytic tools that are more accessible to lay people. In this paper, we present a software tool which can be used to aid inexperienced users in understanding high dimensional data. To facilitate the understanding of such data, we place special emphasis on...
متن کاملPattern Recognition in High-Dimensional Data
Vast amounts of data are produced all the time. Yet this data does not easily equate to useful information: extracting information from large amounts of high dimensional data is nontrivial. People are simply drowning in data. A recent and growing source of high-dimensional data is hyperspectral imaging. Hyperspectral images allow for massive amounts of spectral information to be contained in a ...
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: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.09.037