Event Centric Modeling Approach in Colocation Pattern Analysis From Spatial Data

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Event Centric Modeling Approach in Colocation Pattern Snalysis from Spatial Data

Spatial co-location patterns are the subsets of Boolean spatial features whose instances are often located in close geographic proximity. Co-location rules can be identified by spatial statistics or data mining approaches. In data mining method, Association rule-based approaches can be used which are further divided into transaction-based approaches and distance-based approaches. Transaction-ba...

متن کامل

Critical Analysis: Significant colocation pattern detection

Mining interaction patterns may lead to important observations in a variety of domains such as ecology, biology, epidemiology, earth science and transportation. For example, in biology, it is well known that Nile crocodiles are often seen together with Egyptian plovers, showing a pattern of colocation. Conversely, there is usually competition between the same kind of species which yields patter...

متن کامل

Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results

This paper investigates the colocation pattern mining problem for big spatial event data. Colocation patterns refer to subsets of spatial features whose instances are frequently located together. The problem is important in many applications such as analyzing relationships of crimes or disease with various environmental factors, but is computationally challenging due to a large number of instan...

متن کامل

Geographical Analysis of COVID-19 Epidemiology in Iran with Exploratory Spatial Data Analysis Approach (ESDA)

Background and Aim: The use of geophysical analysis of the epidemiology to identify geographical factors affecting the prevalence of the disease can be effective on community health policies to control the prevalence of the virus. Therefore, the present study is a geographical analysis of the COVID-19 epidemiology in Iran. Therefore, the purpose of this study is the geographical analysis of co...

متن کامل

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 اول

ذخیره 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: International Journal of Database Management Systems

سال: 2011

ISSN: 0975-5985

DOI: 10.5121/ijdms.2011.3311