Works (4)

Updated: July 5th, 2023 15:44

2015 article

On the data-driven inference of modulatory networks in climate science: an application to West African rainfall

González, D. L., II, Angus, M. P., Tetteh, I. K., Bello, G. A., Padmanabhan, K., Pendse, S. V., … Samatova, N. F. (2015, January 13). Nonlinear Processes in Geophysics.

By: D. González n, M. Angus n, I. Tetteh n, G. Bello n, K. Padmanabhan n, S. Pendse n, S. Srinivas n, J. Yu ...

topics (OpenAlex): Climate variability and models; Hydrology and Drought Analysis; Hydrological Forecasting Using AI
Source: Web Of Science
Added: August 6, 2018

2013 article

Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships

Gonzalez, D. L., II, Pendse, S. V., Padmanabhan, K., Angus, M. P., Tetteh, I. K., Srinivas, S., … Samatova, N. F. (2013, December 1).

By: D. Gonzalez n, S. Pendse n, K. Padmanabhan n, M. Angus n, I. Tetteh n, S. Srinivas n, A. Villanes n, F. Semazzi n, V. Kumar*, N. Samatova n

author keywords: association rules; climate; data coupling; discovery
topics (OpenAlex): Data Management and Algorithms; Data Mining Algorithms and Applications; Hydrological Forecasting Using AI
TL;DR: Coupled Heterogeneous Association Rule Mining (CHARM), a computationally efficient methodology that mines higher-order relationships between these subsystems' anomalous temporal phases with respect to their effect on the system's response, is presented. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 article

Discovery of extreme events-related communities in contrasting groups of physical system networks

Chen, Z., Hendrix, W., Guan, H., Tetteh, I. K., Choudhary, A., Semazzi, F., & Samatova, N. F. (2012, August 31). Data Mining and Knowledge Discovery.

By: Z. Chen n, W. Hendrix n, H. Guan*, I. Tetteh n, A. Choudhary*, F. Semazzi n, N. Samatova n

author keywords: Spatio-temporal data mining; Complex network analysis; Community detection; Comparative analysis; Networkmotif detection; Extreme event prediction
topics (OpenAlex): Complex Network Analysis Techniques; Opinion Dynamics and Social Influence; Human Mobility and Location-Based Analysis
TL;DR: This paper forms a novel problem—detection of predictive and phase-biased communities in contrasting groups of networks, and proposes an efficient and effective machine learning solution for finding such anomalous communities. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 article

Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis

Gonzalez, D. L., Chen, Z., Tetteh, I. K., Pansombut, T., Semazzi, F., Kumar, V., … Samatova, N. F. (2012, December 1).

topics (OpenAlex): Tropical and Extratropical Cyclones Research; Meteorological Phenomena and Simulations; Time Series Analysis and Forecasting
TL;DR: This paper proposes a hybrid approach that first predicts the phase the system is in, and then estimates the magnitude of the system's response using the regression model optimized for this phase, designed for systems that could be characterized by multi-variate spatio-temporal data from observations, simulations, or both. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

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