Inference enterprise models: An approach to organizational performance improvement

Dennis M. Buede; Elise T. Axelrad; David P. Brown; Daniel W. Hudson; Kathryn B. Laskey; Paul J. Sticha; Jordan L. Thomas

doi:10.1002/widm.1277

journal article Open Access Jul 27, 2018

Inference enterprise models: An approach to organizational performance improvement

Dennis M. Buede Elise T. Axelrad David P. Brown Daniel W. Hudson Kathryn B. Laskey Paul J. Sticha Jordan L. Thomas

WIREs Data Mining and Knowledge Discovery Vol. 8 No. 6 · Wiley

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Abstract

We demonstrate that our success in solving a set of increasingly complex challenge problems is associated with an inference enterprise (IE) using inference enterprise models (IEMs). As part of a sponsored research competition, we created a multimodeling inference enterprise modeling (MIEM) process to achieve winning scores on a spectrum of challenge problems related to insider threat detection. We present in general terms the motivation for and description of our MIEM solution. We then present the results of applying MIEM across a range of challenge problems, with a detailed illustration for one challenge problem. Finally, we discuss the science and promise of IEM and MIEM, including the applicability of MIEM to a spectrum of inference domains.This article is categorized under:

Technologies > Machine Learning
Algorithmic Development > Ensemble Methods
Technologies > Prediction

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References

Details

Published: Jul 27, 2018
Vol/Issue: 8(6)
License: View

Authors

D

Dennis M. Buede

Innovative Decisions, Inc., SCITE Project Team Vienna Virginia

E

Elise T. Axelrad

Innovative Decisions, Inc., SCITE Project Team Vienna Virginia

D

David P. Brown

Innovative Decisions, Inc., SCITE Project Team Vienna Virginia

D

Daniel W. Hudson

Innovative Decisions, Inc., SCITE Project Team Vienna Virginia

K

Kathryn B. Laskey

Volgenau School of Engineering George Mason University Fairfax Virginia

P

Paul J. Sticha

Human Resources Research Organization, Talent Management and Analytics Division Alexandria Virginia

J

Jordan L. Thomas

Innovative Decisions, Inc., SCITE Project Team Vienna Virginia

Funding

Intelligence Advanced Research Projects Activity Award: 2016‐16031400006

Cite This Article

Dennis M. Buede, Elise T. Axelrad, David P. Brown, et al. (2018). Inference enterprise models: An approach to organizational performance improvement. WIREs Data Mining and Knowledge Discovery, 8(6). https://doi.org/10.1002/widm.1277

Inference enterprise models: An approach to organizational performance improvement

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