Fuzzy Time Series dan Algoritme Average Based Length untuk Prediksi Pekerja Migran Indonesia
نویسندگان
چکیده
منابع مشابه
Interpolating time series based on fuzzy cluster analysis problem
This study proposes the model for interpolating time series to use them to forecast effectively for future. This model is established based on the improved fuzzy clustering analysis problem, which is implemented by the Matlab procedure. The proposed model is illustrated by a data set and tested for many other datasets, especially for 3003 series in M3-Competition data. Comparing to the exist...
متن کاملWatermarking pada Video: Robustness, Impercetibility dan Pendekatan untuk Domain Terkompresi
ABSTRAK Meningkatnya penggunaan dokumen digital khususnya multimedia (citra, audio, video) dan kemudahan transmisi data melalui Internet meningkatkan kebutuhan terhadap keamanan data terhadap pelanggaran hak cipta. Watermarking merupakan pendekatan yang telah banyak digunakan dan merupakan bagian dari Digital Right Management (DRM) yang dibuat untuk memenuhi kebutuhan tersebut. Khusus untuk vid...
متن کاملFuzzy Clustering Based Segmentation of Time-Series
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster must come from successive time points. The changes of the variables of a time-series are usually vague and do not focused on any particular time point. Therefore it is not practical to define crisp bounds of the segments...
متن کاملA new approach based on the optimization of the length of intervals in fuzzy time series
In fuzzy time series analysis, the determination of the interval length is an important issue. In many researches recently done, the length of intervals has been intuitively determined. In order to efficiently determine the length of intervals, two approaches which are based on the average and the distribution have been proposed by Huarng [4]. In this paper, we propose a new method based on the...
متن کاملRank-Based Estimation for Autoregressive Moving Average Time Series Models
We establish asymptotic normality and consistency for rank-based estimators of autoregressive-moving average model parameters. The estimators are obtained by minimizing a rank-based residual dispersion function similar to the one given in L.A. Jaeckel [Estimating regression coefficients by minimizing the dispersion of the residuals, Ann. Math. Statist. 43 (1972) 1449–1458]. These estimators can...
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: Jurnal Teknologi Informasi dan Ilmu Komputer
سال: 2019
ISSN: 2528-6579,2355-7699
DOI: 10.25126/jtiik.2019641177