The integration of business intelligence and knowledge management

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Enterprise executives understand that timely, accurate knowledge can mean improved business performance. Research and development investment in knowledge-management technologies has made significant progress. However, there still exists a need for an approach that integrates complementary and best-of-breed algorithms with guidance from domain expertise. eClassifier is an application that can quickly analyze a large collection of documents and utilize multiple algorithms, visualizations, and metrics to create and to maintain a taxonomy. The taxonomies that eClassifier helps to create can be arbitrarily complex hierarchical categorizations. The algorithms and representation must be robust in order to apply across many diverse domains.

It was designed to employ a “mixed-initiative” approach that applies domain expertise, through interactions with state-of-the-art text analysis algorithms and visualization, to provide a global understanding of a document collection. Most of the complexities inherent in text mining are hidden by using default behaviors, which can be modified as a user gains experience. The tool can be used to automatically categorize a large collection of text documents and then provide to a knowledge worker a broad spectrum of controls to refine the building of an arbitrarily complex hierarchical taxonomy...more

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