Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Grant C. Nakamura"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319586274
HCI (14)
HCI (14)
Visual data analysis helps people gain insights into data via interactive visualizations. People generate and test hypotheses and questions about data in context of the domain. This process can generally be referred to as sensemaking. Much of the wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::171155caca082c448300249a9aa28c2d
https://doi.org/10.1007/978-3-319-58628-1_36
https://doi.org/10.1007/978-3-319-58628-1_36
Publikováno v:
Information Visualization. 8:212-229
For scientific data visualizations, real-time data streams present many interesting challenges when compared to static data. Real-time data are dynamic, transient, high-volume and temporal. Effective visualizations need to be able to accommodate dyna
Autor:
Shawn J. Bohn, John Gerth, Grant C. Nakamura, Michael D. Iannacone, Kelly M. T. Huffer, Erik M. Ferragut, Robert A. Bridges, John R. Goodall
Publikováno v:
CISR
In this paper we describe an ontology developed for a cyber security knowledge graph database. This is intended to provide an organized schema that incorporates information from a large variety of structured and unstructured data sources, and include
Publikováno v:
SDM
Heterogeneous data sets are typically represented in different feature spaces, making it difficult to analyze relationships spanning different data sets even when they are semantically related. Data fusion via space alignment can remedy this task by
Publikováno v:
VDA
High throughput instrumentation for genomics is producing data orders of magnitude greater than even a decade before. Biologists often visualize the data of these experiments through the use of heat maps. For large datasets, heat map visualizations d
Publikováno v:
BMC Bioinformatics, Vol 9, Iss Suppl 6, p S6 (2008)
BMC Bioinformatics
BMC Bioinformatics
Background Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching have great potential as analysis techniques for newly available data in b
Publikováno v:
BIBE
We are developing an advanced toolkit for biological networks, using problems from genome biology to drive this work. We now share our experiences in graph analysis and visualization of microbial genome networks using a collection of new and existing
Autor:
Richard May, Paul D. Whitney, Nancy E. Miller, Dennis McQuerry, Kris Cook, Lucy T. Nowell, Grant C. Nakamura, Renie McVeety, James J. Thomas, Pak Chung Wong, Beth Hetzler, Vern Crow
Publikováno v:
Digital Media: The Future ISBN: 9781849968577
This chapter describes a vision and progress towards a fundamentally new approach for dealing with the massive information overload situation of the emerging global information age. Today we use techniques such as data mining, through a WIMP interfac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ecbdd59d9fa37296a83c417c46f4ba4
https://doi.org/10.1007/978-1-4471-3646-0_3
https://doi.org/10.1007/978-1-4471-3646-0_3
Publikováno v:
Workshop on New Paradigms in Information Visualization and Manipulation
present in the collection itself. In the following explanation, we use this last option. Using a standard statistical correlation technique, we begin by ordering the key concepts. Then for each document, we determine which concept from the ordered se