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ECML
2006
Springer
15 years 8 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
ECIS
2001
15 years 6 months ago
Building an Enterprise Architecture for Public Administration: A High Level Data Model for Strategic Planning
This paper describes the construction of a generic data model for strategic planning in Public Administration (PA). This model is presented at two distinct levels corresponding to...
Konstantinos A. Tarabanis, Vassilios Peristeras, G...
160
Voted
CSCWD
2001
Springer
15 years 9 months ago
Update Algorithms for the Sketch Data Model
The authors have developed a new approach to database interoperability using the sketch data model. That technique has now been used in a number of applications, but an important ...
Michael Johnson, Robert D. Rosebrugh
151
Voted
FLAIRS
2008
15 years 7 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
CSREAESA
2006
15 years 6 months ago
The Satellite Data Model
The Satellite Data Model (SDM) is part of the Air Force Research Laboratory (AFRL) Responsive Space Testbed Initiative. It is a developing standard for rapid integration of hardwa...
Kenneth Sundberg, Scott Cannon, Todd Hospodarsky, ...