Multidimensional KNN algorithm based on EEMD and complexity measures in financial time series forecasting

Fractional frequency hybrid model based on EEMD for financial time series forecasting

(2020) Shuqi Li et al.   Communications in Nonlinear Science and Numerical Simulation

Neural-based time series forecasting of loss of coolant accidents in nuclear power plants

(2020) Majdi I. Radaideh et al.   EXPERT SYSTEMS WITH APPLICATIONS

SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression

(2020) José Manuel Valente et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation

(2020) Si Woon Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting of customer demands for production planning by local k-nearest neighbor models

(2020) Mirko Kück et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Application of the Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting

(2019) Guo-Feng Fan et al.   Energies

Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model

(2019) Antonio Rafael Sabino Parmezan et al.   INFORMATION SCIENCES

Dealing with seasonality by narrowing the training set in time series forecasting with k NN

(2018) Francisco Martínez et al.   EXPERT SYSTEMS WITH APPLICATIONS

Efficient kNN Classification With Different Numbers of Nearest Neighbors

(2018) Shichao Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Real-time road traffic state prediction based on kernel-KNN

(2018) Dongwei Xu et al.   Transportmetrica A-Transport Science

Construction of traffic state vector using mutual information for short-term traffic flow prediction

(2018) Unsok Ryu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Granger Causality Driven AHP for Feature Weighted kNN

(2017) Gautam Bhattacharya et al.   PATTERN RECOGNITION

Multidimensionalk-nearest neighbor model based on EEMD for financial time series forecasting

(2017) Ningning Zhang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting

(2016) Pinlong Cai et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Frontiers in Time Series and Financial Econometrics: An overview

(2015) Shiqing Ling et al.   JOURNAL OF ECONOMETRICS

Efficient model selection for probabilistic K nearest neighbour classification

(2015) Ji Won Yoon et al.   NEUROCOMPUTING

Global and decomposition evolutionary support vector machine approaches for time series forecasting

(2014) Paulo Cortez et al.   NEURAL COMPUTING & APPLICATIONS

A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine

(2012) Chin Heng Wan et al.   EXPERT SYSTEMS WITH APPLICATIONS

APPLICATION OF EMPIRICAL MODE DECOMPOSITION COMBINED WITH k-NEAREST NEIGHBORS APPROACH IN FINANCIAL TIME SERIES FORECASTING

(2012) AIJING LIN et al.   FLUCTUATION AND NOISE LETTERS

Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal

(2012) Tong Wang et al.   JOURNAL OF APPLIED GEOPHYSICS

FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors

(2011) Jung-Yi Jiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

An improved K-nearest-neighbor algorithm for text categorization

(2011) Shengyi Jiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Inner Composition Alignment for Inferring Directed Networks from Short Time Series

(2011) S. Hempel et al.   PHYSICAL REVIEW LETTERS

Rough set based hybrid algorithm for text classification

(2008) Duoqian Miao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Human heart beat analysis using a modified algorithm of detrended fluctuation analysis based on empirical mode decomposition

(2008) Jia-Rong Yeh et al.   MEDICAL ENGINEERING & PHYSICS

Weather analogue: A tool for real-time prediction of daily weather data realizations based on a modified k-nearest neighbor approach

(2007) Mohammad Bannayan et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Predicting stock index increments by neural networks: The role of trading volume under different horizons

(2007) X ZHU et al.   EXPERT SYSTEMS WITH APPLICATIONS

Empirical mode decomposition analysis of two different financial time series and their comparison

(2006) Kousik Guhathakurta et al.   CHAOS SOLITONS & FRACTALS