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Articles 31 - 33 of 33
Full-Text Articles in Databases and Information Systems
Knowledge Discovery In Fetal Activity Data, Dallas H. Snider
Knowledge Discovery In Fetal Activity Data, Dallas H. Snider
Theses and Dissertations
The ability to determine accurately the health of a fetus through non-invasive techniques has tremendous positive affects for the fetus, the mother, and the health care system. In this project, Knowledge Discovery in Databases (KDD) techniques were applied to fetal magnetocardiogram data from 118 human fetuses with a gestational age of 24 to 39 weeks. These techniques produced three models relating to the health of a fetus which are presented in this document. The first model distinguished maternal high-risk factors versus low-risk factors. The second model was used to classify neonate outcomes of sick versus healthy. The third model was …
Improving Information Products For System 2 Decision Support, Neal Gibson
Improving Information Products For System 2 Decision Support, Neal Gibson
Theses and Dissertations
The creation, maintenance, and management of Information Product (IP) systems that are used by organizations for complex decisions represent a unique set of challenges. These challenges are compounded when the purpose of such a systems is also for knowledge creation and dissemination. Information quality research to date has focused mainly upon treating IP independent from the actual users, despite the obvious interdependency between the two. Research in cognitive psychology has established a dual-process model for human cognition. Designing IP systems in recognition of these differing methods of human cognition represents a new approach to improving their quality. Education data and …
Knowledge-Driven Identity Resolution For Longitudinal Education Data, Greg Holland
Knowledge-Driven Identity Resolution For Longitudinal Education Data, Greg Holland
Theses and Dissertations
Data sets containing information for an overlapping group of real-world identities present a very high likelihood that the identifying attributes and attribute values for these identities may be inconsistent between the data sets. Differences in the types of identifying attributes or attribute values inhibit proper record linkage and identity resolution. Traditional approaches to record linkage are commonly utilized however the results from these approaches do not demonstrate the highest possible levels of confidence and utility. Syntax, semantics, and temporal aspects of data sets should be understood and incorporated into the methodology of heterogeneous data set integration. Domain-specific expertise is a …