Jim N. Treadwell

Oak Ridge National Laboratory

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i-10 index

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Co-Authors

Thomas E. Potok

Oak Ridge National Laboratory

Robert M. Patton

Oak Ridge National Laboratory

Justin M. Beaver

Oak Ridge National Laboratory

Xiaohui Cui

Wuhan University

Laura Pullum

Oak Ridge National Laboratory

Ryan A. Kerekes

Oak Ridge National Laboratory

Chad A. Steed

Oak Ridge National Laboratory

Mark Thomas Elmore

Oak Ridge National Laboratory

Mark Elmore

University of California, Davis

Barbara G. Beckerman

Oak Ridge National Laboratory

Cooperative Institutions

Oak Ridge National Laboratory

Office of Scientific and Technical Information

National Technical Information Service

Sandia National Laboratories

University of Tennessee at Knoxville

Sandia National Laboratories California

Lockheed Martin (United States)

United States Department of Energy

University of Central Florida

Knoxville College

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Observing Community Resiliency in Social Media

Lecture notes in computer science (2013)

Robert M. Patton Chad A. Steed Christopher Stahl Jim N. Treadwell

Landfall

Leverage (statistics)

Situation Awareness

Community Resilience

Resilience

Natural hazard

10.1007/978-3-642-39640-3_36

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Citations (4)

Genetic algorithm for analysis of abdominal aortic aneurysms in radiology reports

Robert M. Patton Barbara G. Beckerman Thomas E. Potok Jim N. Treadwell

An abdominal aortic aneurysm is a problem in which the wall of the artery that supplies blood to the abdomen and lower extremities expands under pressure or balloons outward. Patients must undergo surgery to repair such an aneurysm, and there is currently no known indicator of long-term success or failure from this surgery. Our work uses a genetic algorithm to analyze radiology reports from these patients to look for common patterns in the language used as well as common features of both successful and unsuccessful surgeries. The results of the genetic algorithm show that patients with complications or unusual characteristics can be identified from a set of radiology reports without the use of search keywords, clustering, categorization, or ontology. This allows medical researchers to search and identify interesting patient records without the need for explicitly defining what "interesting" patient records are.

Medical record

Abdominal cavity

10.1145/1830761.1830828

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Citations (1)

Decision-level information fusion to assess threat likelihood in shipped containers

Justin M. Beaver Ryan A. Kerekes Jim N. Treadwell

A significant challenge in the distribution of goods is assessing the potential threat that an individual shipping container poses. Due to the high volume of shipped goods, a primary concern is balancing accuracy and container scan time. The application of information fusion to the problem enables automated threat determination and the presentation of relevant data to an operator, in a decision support capacity, in order to maintain a sufficient level of processing. This paper outlines an approach to container threat assessment that combines data from multiple sources in order to reliably score the likelihood that a given container holds a threat. Fused data is also leveraged as a tool to optimize the routing of containers through a scanning system comprised of multiple data acquisition stations and providing data in multiple modes. Furthermore, we propose methods for the consolidated presentation of fused data to an operator in order to both minimize the time expended in container evaluation and maximize the accuracy of the assessment.

Sensor Fusion

Operator (biology)

10.1109/ths.2009.5168036

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Citations (1)

Hierarchical clustering and visualization of aggregate cyber data

Robert M. Patton Justin M. Beaver Chad A. Steed Thomas E. Potok Jim N. Treadwell

Most commercial intrusion detections systems (IDS) can produce a very high volume of alerts, and are typically plagued by a high false positive rate. The approach described here uses Splunk to aggregate IDS alerts. The aggregated IDS alerts are retrieved from Splunk programmatically and are then clustered using text analysis and visualized using a sunburst diagram to provide an additional understanding of the data. The equivalent of what the cluster analysis and visualization provides would require numerous detailed queries using Splunk and considerable manual effort.

Hierarchical clustering

10.1109/iwcmc.2011.5982725

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Citations (12)

System for gathering and summarizing internet information

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2006)

Thomas E. Potok Mark Thomas Elmore Joel Wesley Reed Jim N. Treadwell Nagiza F. Samatova

Source

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Citations (0)

ShadowNet: An Active Defense Infrastructure for Insider Cyber Attack Prevention

Lecture notes in computer science (2012)

Xiaohui Cui Wade Gasior Justin M. Beaver Jim N. Treadwell

Honeypot

Insider threat

10.1007/978-3-642-31128-4_48

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Citations (1)

Particle Swarm Social Model for Group Social Learning in Adaptive Environment

Social Computing, Behavioral Modeling, and Prediction (2008)

Xiaohui Cui Laura Pullum Jim N. Treadwell Robert M. Patton Thomas E. Potok

This report presents a study of integrating particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the social learning of self-organized groups and their collective searching behavior in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social learning for a dynamic environment. The research provides a platform for understanding and insights into knowledge discovery and strategic search in human self-organized social groups, such as human communities.

Social Learning

Complex adaptive system

10.1007/978-0-387-77672-9_16

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Citations (1)

A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint

Robert M. Patton Wade McNair Christopher T. Symons Jim N. Treadwell Thomas E. Potok

Creating incentives for knowledge workers to share their knowledge within an organization continues to be a challenging task. Strong, innate behaviors of the knowledge worker, such as self-preservation and self-advancement, are difficult to overcome, regardless of the level of knowledge. Many incentive policies simply focus on providing external pressure to promote knowledge sharing. This work describes a technical approach to motivate sharing. Utilizing text analysis and machine learning techniques to create an enhanced knowledge sharing experience, a prototype system was developed and tested at Oak Ridge National Laboratory that reduces the overhead cost of sharing while providing a quick, positive payoff for the knowledge worker. This work describes the implementation and experiences of using the prototype in a corporate production environment.

Knowledge Sharing

10.1109/hicss.2012.85

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Citations (5)

Particle Swarm Based Collective Searching Model for Adaptive Environment

Studies in computational intelligence (2008)

Xiaohui Cui Robert M. Patton Jim N. Treadwell Thomas E. Potok

Complex adaptive system

Social Simulation

Collective Behavior

Swarm Robotics

Collective Intelligence

10.1007/978-3-540-78987-1_20

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Citations (1)

The Swarm Model in Open Source Software Developer Communities

Xiaohui Cui Justin M. Beaver Everett Stiles Laura Pullum Brian Klump

Most of the current swarm model studies and applications try to mimic the collective behaviors of social animals, such as birds and ants. The studies seek to solve tasks similar to patterns and behaviors exhibited in those animal colonies. In this research, we demonstrated that the swarm model is also the major collaboration and organization model of Open Source Software (OSS) developer communities. OSS developers swarm together and spend their time attempting to achieve their relatively simple goals, while their contributions emerged as a collection of useful and sophisticated functionality that can compete with commercial software. The results discovered in this research will be helpful in demonstrating that the swarm model can not only be considered as a feasible approach to classical optimization problems, but can also be applied to constructing highly sophisticated systems.

Swarm intelligence

10.1109/socialcom.2010.101

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Citations (2)