کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6856564 | 1437964 | 2018 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Extended Fuzzy C-Means hotspot detection method for large and very large event datasets
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Extended Fuzzy C-Means hotspot detection method for large and very large event datasets Extended Fuzzy C-Means hotspot detection method for large and very large event datasets](/preview/png/6856564.png)
چکیده انگلیسی
We present a hotspot detection method based on the Extended Fuzzy C-Means (EFCM) algorithm for large (L) and very large (VL) datasets of events. Extensions of four VL-FCM algorithms are presented. We test our method applying these algorithms to an L dataset composed from the epicenters of earthquakes happened in Italy since 1970. Comparison have been made with respect to the results obtained by applying the EFCM algorithm on the whole event dataset and two indices are used for measuring the performances of the algorithms proposed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 441, May 2018, Pages 198-215
Journal: Information Sciences - Volume 441, May 2018, Pages 198-215
نویسندگان
Ferdinando Di Martino, Salvatore Sessa,