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IJIT
2004
13 years 7 months ago
Forecasting Enrollment Model Based on First-Order Fuzzy Time Series
-- This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time serie...
Melike Sah, Konstantin Y. Degtiarev
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 24 days ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
COMPSYSTECH
2010
13 years 2 months ago
Integration of neural networks and expert systems for time series prediction
: In this paper an approach for development of univariate time series prediction library in Java and its integration with an existing CLIPS related system is presented .A backpropa...
Ventsislav Nikolov, Valeri Bogdanov
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 6 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
CAEPIA
2003
Springer
13 years 11 months ago
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
Alicia Troncoso Lora, Jesús Riquelme Santos...