13 Result(s)
within
Computer Science
Database Management
M. **gliang
Chapter
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Chapter and Conference Paper
Business Process Performance Mining with Staged Process Flows
Existing business process performance mining tools offer various summary views of the performance of a process over a given period of time, allowing analysts to identify bottlenecks and their performance effec...
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Chapter and Conference Paper
Discriminative Interpolation for Classification of Functional Data
The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space
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Chapter and Conference Paper
Augmented Cognition Methods for Evaluating Serious Game Based Insider Cyber Threat Detection Training
DoD investments into cyber threat defense are ongoing; however, little attention is paid to training personnel to detect and prevent threats to cyber networks that come from internal sources. Supervisors need ...
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Chapter and Conference Paper
Today’s Competitive Objective: Augmenting Human Performance
Gaining competitive advantage requires acquiring or develo** a capability that allows an organization or individual to outperform its competitors. In today’s technology-driven environment, where human capabi...
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Chapter and Conference Paper
Individual Differences and the Science of Human Performance
This study comprises the third year of the Robust Automated Knowledge Capture (RAKC) project. In the previous two years, preliminary research was conducted by collaborators at the University of Notre Dame and ...
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Chapter and Conference Paper
Managing Process Model Collections with AProMoRe
As organizations reach higher levels of Business Process Management maturity, they tend to collect numerous business process models. Such models may be linked with each other or mutually overlap, supersede one...
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Chapter and Conference Paper
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamical systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over th...
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Chapter and Conference Paper
Liquid Course Artifacts Software Platform
Liquid Course Artifacts Software Platform aims to improve social productivity and enhance interactive experience for teaching and collaborating by using suppliment materials such as slides, exercises, audios, ...
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Chapter and Conference Paper
Incorporating Expectations as a Basis for Business Service Selection
The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectations of the participants. Specifically, ...
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Chapter and Conference Paper
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over the ...
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Chapter and Conference Paper
Leveraging Higher Order Dependencies between Features for Text Classification
Traditional machine learning methods only consider relationships between feature values within individual data instances while disregarding the dependencies that link features across instances. In this work, w...
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Chapter and Conference Paper
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams
In a typical data stream classification task, it is assumed that the total number of classes are fixed. This assumption may not be valid in a real streaming environment, where new classes may evolve. Tradition...
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Chapter and Conference Paper
A Study on the Document Zone Content Classification Problem
A document can be divided into zones on the basis of its content. For example, a zone can be either text or non-text. Given the segmented document zones, correctly determining the zone content type is very imp...
