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A Case Study of Data Quality in Text Mining Clinical Progress Notes
Donald J. Berndt, James A. McCart, Dezon K. Finch, Stephen L. Luther
Article No.: 1
Text analytic methods are often aimed at extracting useful information from the vast array of unstructured, free format text documents that are created by almost all organizational processes. The success of any text mining application rests on the...
Stakeholder Analyses of Firm-Related Web Forums: Applications in Stock Return Prediction
David Zimbra, Hsinchun Chen, Robert F. Lusch
Article No.: 2
In this study, we present stakeholder analyses of firm-related web forums. Prior analyses of firm-related forums have considered all participants in the aggregate, failing to recognize the potential for diversity within the populations. However,...
In today's world, Botnet has become one of the greatest threats to network security. Network attackers, or Botmasters, use Botnet to launch the Distributed Denial of Service (DDoS) to paralyze large-scale websites or steal confidential data from...
Ontology-Based Mapping for Automated Document Management: A Concept-Based Technique for Word Mismatch and Ambiguity Problems in Document Clustering
Yen-Hsien Lee, Paul Jen-Hwa Hu, Ching-Yi Tu
Article No.: 4
Document clustering is crucial to automated document management, especially for the fast-growing volume of textual documents available digitally. Traditional lexicon-based approaches depend on document content analysis and measure overlap of the...