Works (8)

Updated: July 5th, 2023 15:46

2014 journal article

Solving the maximum duo-preservation string mapping problem with linear programming

THEORETICAL COMPUTER SCIENCE, 530, 1–11.

By: W. Chen*, Z. Chen n, N. Samatova n, L. Peng*, J. Wang* & M. Tang*

author keywords: Approximation algorithm; Constrained maximum induced subgraph problem; Duo-preservation string mapping; Linear programming; Integer programming; Randomized rounding
TL;DR: The maximum duo-preservation string mapping problem (MPSM), which is complementary to the minimum common string partition problem (MCSP), is introduced and it is shown that both CMIS and CNIS are NP-complete. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

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

DATA MINING AND KNOWLEDGE DISCOVERY, 27(2), 225–258.

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
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

12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012), pp. 781–788.

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 Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Community-based anomaly detection in evolutionary networks

Journal of Intelligent Information Systems, 39(1), 59–85.

By: Z. Chen n, W. Hendrix n & N. Samatova*

TL;DR: This work develops a parameter-free and scalable algorithm using a proposed representative-based technique to detect all six possible types of community-based anomalies: grown, shrunken, merged, split, born, and vanished communities, and detail the underlying theory required to guarantee the correctness of the algorithm. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

Efficient alpha, beta-motif finder for identification of phenotype-related functional modules

BMC BIOINFORMATICS, 12.

MeSH headings : Acids / metabolism; Algorithms; Bacteria / genetics; Bacteria / metabolism; Citric Acid Cycle; Computing Methodologies; Hydrogen / metabolism; Phenotype; Proteobacteria
TL;DR: A methodology that can identify potential statistically significant phenotype-related functional modules that are in at least α networks of phenotype-expressing organisms but appear in no more than β networks of organisms that do not exhibit the target phenotype is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2010 conference paper

Detecting and Tracking Community Dynamics in Evolutionary Networks

The 10th IEEE International Conference on Data Mining Workshops, 318–327.

By: Z. Chen n, K. Wilson n, Y. Jin n & N. Samatova n

TL;DR: This paper proposes an efficient method for detecting and tracking community dynamics in evolutionary networks by introducing graph representatives and community representatives to avoid generating redundant communities and limit the search space. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2010 journal article

Inapproximability results for equations over infinite groups

Theoretical Computer Science, 411(26-28), 2513–2519.

By: W. Chen, D. Yin & Z. Chen

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

report

Forecaster: Forecast Oriented Feature Elimination-based Classification of Adverse Spatio-Temporal Extremes

Chen, Z., Pansombut, T., Hendrix, W., Gonzalez, D., Semazzi, F., Choudhary, A., … Samatova, N. F.

By: Z. Chen, T. Pansombut, W. Hendrix, D. Gonzalez, F. Semazzi, A. Choudhary, V. Kumar, A. Melechko, N. Samatova

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

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