Experience report: A component-based data management and knowledge discovery framework for aviation studies

M. Brian Blake, Lisa Singh, Andrew B. Williams, Wendell Norman, Amy L. Sliva

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Organizations are beginning to apply data mining and knowledge discovery techniques to their corporate data sets, thereby enabling the identification of trends and the discovery of inductive knowledge. Many times, traditional transactional databases are not optimized for analytical processing and must be transformed. This article proposes the use of modular components to decrease the overall amount of human processing and intervention necessary for the transformation process. Our approach configures components to extract data-sets using a set of "extraction hints". Our framework incorporates decentralized, generic components that are reusable across domains and databases. Finally, we detail an implementation of our component-based framework for an aviation data set.

Original languageEnglish (US)
Title of host publicationIntegrated Approaches in Information Technology and Web Engineering
Subtitle of host publicationAdvancing Organizational Knowledge Sharing
PublisherIGI Global
Pages244-256
Number of pages13
ISBN (Print)9781605664187
DOIs
StatePublished - Dec 1 2008

ASJC Scopus subject areas

  • Computer Science(all)

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    Blake, M. B., Singh, L., Williams, A. B., Norman, W., & Sliva, A. L. (2008). Experience report: A component-based data management and knowledge discovery framework for aviation studies. In Integrated Approaches in Information Technology and Web Engineering: Advancing Organizational Knowledge Sharing (pp. 244-256). IGI Global. https://doi.org/10.4018/978-1-60566-418-7.ch016