Paul Jones

Works (4)

Updated: July 5th, 2023 15:32

2018 article

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

Yang, R., He, J., Xu, M., Ni, H., Jones, P., & Samatova, N. (2018, January 1). Lecture Notes in Computer Science, pp. 104–118.

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

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

author keywords: EMD; Weighted fuzzy time series; Human learning optimization algorithm; Financial markets forecasting
topics (OpenAlex): Stock Market Forecasting Methods; Energy Load and Power Forecasting; Market Dynamics and Volatility
TL;DR: A new Intelligent Hybrid Weighted Fuzzy (IHWF) time series model to improve forecasting accuracy in financial markets, which are complex nonlinear time-sensitive systems, influenced by many factors. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 17, 2019

2018 article

Bringing the National Security Agency into the Classroom: Ethical Reflections on Academia-Intelligence Agency Partnerships

Kampe, C., Reid, G., Jones, P., Colleen, S., Sean, S., & Vogel, K. M. (2018, January 9). Science and Engineering Ethics.

By: C. Kampe n, G. Reid*, P. Jones n, S. Colleen n, S. Sean n & K. Vogel *

author keywords: Intelligence; Prototype; Research ethics; Participatory sensing; Self-tracking; Values in design
MeSH headings : Curriculum; Data Science / ethics; Data Science / methods; Education, Graduate / ethics; Education, Graduate / methods; Humans; North Carolina; Privacy; Software; Students; United States; United States Government Agencies; Universities; Workflow
topics (OpenAlex): Information and Cyber Security; Intelligence, Security, War Strategy; Cybersecurity and Cyber Warfare Studies
TL;DR: This paper describes one purposeful classroom encounter that occurred between a professor, students, and intelligence practitioners in the fall of 2015 at North Carolina State University, and discusses the experimental findings in the context of ethical perspectives involved in values in design and participatory/self-tracking data practices. (via Semantic Scholar)
Source: Web Of Science
Added: July 15, 2019

2018 article

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

Xu, M., Yang, R., Jones, P., & Samatova, N. F. (2018, January 1). Lecture Notes in Computer Science, pp. 195–210.

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

Contributors: M. Xu n, R. Yang n , P. Jones n & N. Samatova*

topics (OpenAlex): Sentiment Analysis and Opinion Mining; Advanced Text Analysis Techniques; Topic Modeling
TL;DR: This paper proposes a Latent embedding structured Opinion mining Topic model, called the LOT, which can simultaneously discover relevant aspect-level specific opinions from small or large numbers of reviews and to assign accurate sentiment to words. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, ORCID
Added: January 28, 2019

2017 article

Real time utility-based recommendation for revenue optimization via an adaptive online Top-K high utility itemsets mining model

Yang, R., Xu, M., Jones, P., & Samatova, N. (2017, July 1). ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 1859–1866.

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

Contributors: R. Yang n , M. Xu n, P. Jones n & N. Samatova*

topics (OpenAlex): Recommender Systems and Techniques; Consumer Market Behavior and Pricing; Customer churn and segmentation
TL;DR: This work considers that online transaction streams are usually accompanied with flow fluctuation, and proposes an Adaptive Online Top-K (RAOTK) high utility itemsets mining model to guide the utility-based recommendations. (via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

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