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Bradley C. Boehmke
Air Force Institute of Technology
StatisticsBusinessMathematicsComputer scienceAnalytics
31Publications
4H-index
49Citations
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Publications 17
Newest
#1Trevor J. Bihl (Wright State University)H-Index: 6
#2Robert J Gutierrez (AFIT: Air Force Institute of Technology)
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#1Daniel A. Griffith (AFIT: Air Force Institute of Technology)H-Index: 1
#2Bradley C. Boehmke (AFIT: Air Force Institute of Technology)H-Index: 4
Last. Alan W. Johnson (AFIT: Air Force Institute of Technology)H-Index: 7
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Analytical techniques continue to advance in efficacy, as well as complexity. However, it is sometimes unrealistic to employ complex analyses during time-constrained humanitarian disaster operations. We propose that simple, embedded analytics tools can provide an effective and practical means toward managing humanitarian operations. In this paper, we demonstrate a real-world application of our technique in a patient evacuation context. This paper contributes to literature and practice by showing...
3 CitationsSource
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#1Robert J Gutierrez (AFIT: Air Force Institute of Technology)
#2Kenneth W. Bauer (AFIT: Air Force Institute of Technology)H-Index: 16
Last. Trevor J. Bihl (AFRL: Air Force Research Laboratory)H-Index: 6
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Firewalls, especially at large organizations, process high velocity internet traffic and flag suspicious events and activities. Flagged events can be benign, such as misconfigured routers, or malig...
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In the era of "big data", it is becoming more of a challenge to not only build state-of-the-art predictive models, but also gain an understanding of what's really going on in the data. For example, it is often of interest to know which, if any, of the predictors in a fitted model are relatively influential on the predicted outcome. Some modern algorithms---like random forests and gradient boosted decision trees---have a natural way of quantifying the importance or relative influence of each feat...
9 Citations
#2Andrew J. McCarthyH-Index: 1
Last. Dungang LiuH-Index: 4
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#1Benjamin T. Hazen (AFIT: Air Force Institute of Technology)H-Index: 23
#2Fred K. Weigel (Lipscomb University)H-Index: 5
Last. Randy V. Bradley (UT: University of Tennessee)H-Index: 9
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Business analytics is driving the way organizations compete. However, the decisions made as a result of any analytics process are greatly dependent on the quality of the data from which they are based. Scholars suggest several data quality improvement methods, and commercial software is now available that can help improve data quality. Although organizations are motivated to find ways to improve analytic capabilities and using these methods has been shown to improve some measures of data quality...
4 CitationsSource
Abstract Since its inception, the Kraljic Portfolio Matrix (KPM) has been widely used as a diagnostic and prescriptive purchasing tool. One of the primary weaknesses of the KPM is the qualitative nature of the model, which results in a subjective method for weighting and positioning suppliers or commodities in the various quadrants. In an effort to help overcome this widely cited weakness, this research proposes an objective, quantitative decision analysis approach to position products and servi...
10 CitationsSource
#1Bradley C. Boehmke (AFIT: Air Force Institute of Technology)H-Index: 4
#2Benjamin T. Hazen (AFIT: Air Force Institute of Technology)H-Index: 23
The open source phenomenon has made a significant impression, not only on the software industry, but also on software-intensive organizations in both the public and private sectors. The collaborative model offered by the open source ecosystem can potentially change the collective nature of organizations and is claimed to increase innovation and technology adoption while reducing costs. These potential advantages are influencing how organizations acquire software and are leading to significant ad...
8 CitationsSource
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