2018 article

An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS (ICDM 2018), pp. 104–118.

By: R. Yang, J. He, M. Xu, H. Ni, P. Jones & N. Samatova

Source: Web Of Science
Added: June 17, 2019

2018 conference paper

Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model

COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, CICLING 2017, PT II, 10762, 195–210.

By: M. Xu, R. Yang, P. Jones & N. Samatova

Source: NC State University Libraries
Added: January 28, 2019

2017 conference paper

A lifelong learning topic model structured using latent embeddings

2017 11th ieee international conference on semantic computing (icsc), 260–261.

Source: NC State University Libraries
Added: August 6, 2018

2017 conference paper

An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting

ADVANCED DATA MINING AND APPLICATIONS, ADMA 2017, 10604, 595–607.

By: R. Yang, M. Xu, J. He, S. Ranshous & N. Samatova

Source: NC State University Libraries
Added: November 26, 2018