Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Joseph A. Cottam"'
Publikováno v:
2021 IEEE International Conference on Intelligence and Security Informatics (ISI).
Autor:
George Chin, Natalie C. Heller, Christopher L. Ebsch, Rahul Deshmukh, Patrick Mackey, Joseph A. Cottam
Publikováno v:
IEEE BigData
In the real world, data does not come neatly packaged. Instead, it typically comes as small updates from many sources with different conventions. Building a single, cohesive knowledge-base to work from requires merging small updates from many differe
Publikováno v:
IEEE BigData
The subgraph matching problem is a fundamental problem in graph theory that is known to be NP-complete. In this study, performers were asked to develop algorithms to search for semantic property graphs that were subgraphs of a large knowledge graph.
Autor:
Aaron Knoll, Paul A. Navrátil, Steve Petruzza, Venkatram Vishwanath, Michel Rasquin, Silvio Rizzi, Jeremy S. Meredith, Thomas Fogal, Jay Lofstead, Bernd Hentschel, David Rogers, James Kress, Han-Wei Shen, Franz Sauer, Cyrus Harrison, Tom Peterka, David Pugmire, Sudhanshu Sane, Charles Hansen, Kenneth Moreland, Berk Geveci, Matthew Wolf, Kwan-Liu Ma, Janine C. Bennett, Rhonda Vickery, William F. Godoy, Sean B. Ziegeler, Ingo Wald, Eric Brugger, Christoph Garth, Steffen Frey, Joseph A. Insley, Jean M. Favre, Andrew Bauer, Soumya Dutta, Gunther H. Weber, Sean Ahern, Matthieu Dorier, Ruonan Wang, John Patchett, E. Wes Bethel, Chris R. Johnson, Valerio Pascucci, Patrick O'Leary, Preeti Malakar, Norbert Podhorszki, Hongfeng Yu, Brad Whitlock, Matthew Larsen, James Ahrens, Robert Sisneros, Joseph A. Cottam, Scott Klasky, Manish Parashar, Hank Childs, Peer-Timo Bremer, Will Usher
Publikováno v:
The International Journal of High Performance Computing Applications, vol 34, iss 6
International Journal of High Performance Computing Applications, vol 34, iss 6
International Journal of High Performance Computing Applications, vol 34, iss 6
The term “in situ processing” has evolved over the last decade to mean both a specific strategy for visualizing and analyzing data and an umbrella term for a processing paradigm. The resulting confusion makes it difficult for visualization and an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::070afd116d2dcb779f32cf9347bf71ee
https://escholarship.org/uc/item/20q1s49z
https://escholarship.org/uc/item/20q1s49z
Publikováno v:
IEEE BigData
The major part of graph generation is deriving connections (links) between entities (nodes). In this paper, a novel technique RAKE-IDF is introduced for key-phrase extraction across multiple documents. There are two main parts to this work: First is
Autor:
Andrew Lumsdaine, Joseph A. Cottam
Publikováno v:
Visualization and Data Analysis
Publikováno v:
IEEE BigData
Network simulation is essential to test adversarial search problems for privacy preservation and benchmarking purposes. Different generative models have been developed for single-channel, homogeneous networks that model social networks, communication
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319914664
HCI (16)
HCI (16)
Measuring change is increasingly a computational task, but understanding change and its implications are fundamentally human challenges. Successful human/machine teams for streaming data analysis effectively balance data velocity with people’s capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::287801fd3384982d4b7a38b697df81db
https://doi.org/10.1007/978-3-319-91467-1_4
https://doi.org/10.1007/978-3-319-91467-1_4
Autor:
Leslie M. Blaha, Joseph A. Cottam
Publikováno v:
Cognitive Biases in Visualizations ISBN: 9783319958309
Cognitive Biases in Visualizations
Cognitive Biases in Visualizations
Systems have biases. Their interfaces naturally guide a user toward specific patterns of action. For example, modern word-processors and spreadsheets are both capable of handling word wrapping, checking spelling and calculating formulas. You could wr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d27a8ef80208d69b77699dfca14ebf84
https://doi.org/10.1007/978-3-319-95831-6_4
https://doi.org/10.1007/978-3-319-95831-6_4
Publikováno v:
IEEE BigData
Testing is an integral part of all software systems. In human/machine teaming systems, user inputs must be included in testing. For interactive streaming analytic systems, the user inputs must be contextualized in the dynamic data environment. We int