Denise Koessler Gosnell

ORCID: 0000-0001-9787-5660
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Opinion Dynamics and Social Influence
  • Advanced Database Systems and Queries
  • Complex Network Analysis Techniques
  • Data Mining Algorithms and Applications
  • Bee Products Chemical Analysis
  • Graph Theory and Algorithms
  • Heavy Metals in Plants
  • Spam and Phishing Detection
  • Human Mobility and Location-Based Analysis
  • Complementary and Alternative Medicine Studies

University of Tennessee at Knoxville
2015

The aqueous extract of yerba mate, a South American tea beverage made from Ilex paraguariensis leaves, has demonstrated bactericidal and inhibitory activity against bacterial pathogens, including methicillin-resistant Staphylococcus aureus (MRSA). gas chromatography-mass spectrometry (GC-MS) analysis two unique fractions mate revealed 8 identifiable small molecules in those with antimicrobial activity. For more comprehensive analysis, data pipeline was assembled to prioritize compounds for...

10.1371/journal.pone.0123925 article EN cc-by PLoS ONE 2015-05-08

Summary Users of social media interact with the network and its users. Each interaction creates network‐specific data between engaged users chosen avenue. Over time, these engagements accumulate to describe user's fingerprint, a trail that encapsulates identity on network. The agglomeration this information showcases activity establishes traceable fingerprint. focus study is examine accuracy user identification via semidiscrete decomposition adjacency matrices. use in application...

10.1002/nla.1989 article EN Numerical Linear Algebra with Applications 2015-05-13

Graph data management is instrumental for several use cases such as recommendation, root cause analysis, financial fraud detection, and enterprise knowledge representation. Efficiently supporting these yields a number of unique requirements, including the need concise query language graph-aware optimization techniques. The goal Linked Data Benchmark Council (LDBC) to design set standard benchmarks that capture representative categories graph problems, making performance systems comparable...

10.48550/arxiv.2307.04350 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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