MEMGENE: Spatial pattern detection in genetic distance data
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 اولOn the choice of genetic distance in spatial-genetic studies.
We look at how to choose genetic distance so as to maximize the power of detecting spatial structure. We answer this question through analyzing two population genetic models that allow for a spatially structured population in a continuous habitat. These models, like most that incorporate spatial structure, can be characterized by a separation of timescales: the history of the sample can be spli...
متن کاملAbnormal Pattern Recognition in Spatial Data
In the recent years, abnormal spatial pattern recognition has received a great deal of attention from both industry and academia, and has become an important branch of data mining. Abnormal spatial patterns, or spatial outliers, are those observations whose characteristics are markedly different from their spatial neighbors. The identification of spatial outliers can be used to reveal hidden bu...
متن کاملDistance-based Outlier Detection in Data Streams
Continuous outlier detection in data streams has important applications in fraud detection, network security, and public health. The arrival and departure of data objects in a streaming manner impose new challenges for outlier detection algorithms, especially in time and space efficiency. In the past decade, several studies have been performed to address the problem of distance-based outlier de...
متن کاملAn Approach to Temporal-Spatial Pattern Detection
The following approach is used to mine for temporal-spatial patterns in large data sets. We rst present a parameterizable model for spatial-temporal sequences, then devise eecient ways to search for parameter values that will result in a good t to (at least portion of) the data. Metrics for how well the model ts the data are deened which are similar to the support and conndence used in associat...
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: Methods in Ecology and Evolution
سال: 2014
ISSN: 2041-210X
DOI: 10.1111/2041-210x.12240