SPICE: A novel approach to data analysis

Jitender Deogun, Liying Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Various techniques, based on Formal Concept Analysis (FCA), for deriving conceptual structures from data have been investigated. Data is usually represented as a two-dimensional context of objects and fea tures. FCA discovers dependencies within the data based on the relation among objects and features. On the other hand, the probability logic represents and reasons with both statistical and propositional probabil ity among data. Both FCA and probability logic are useful tools for data analysis. We develop a novel approach for data analysis called SPICE -Symbiotic integration of Probability Inference and Concept Extraction. SPICE is expected to provide a more flexible and robust data analysis model as it integrates novel features of both FCA and probability logic.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005
Pages2432-2443
Number of pages12
StatePublished - 2005
Event2nd Indian International Conference on Artificial Intelligence, IICAI 2005 - Pune, India
Duration: Dec 20 2005Dec 22 2005

Publication series

NameProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005

Conference

Conference2nd Indian International Conference on Artificial Intelligence, IICAI 2005
CountryIndia
CityPune
Period12/20/0512/22/05

ASJC Scopus subject areas

  • Artificial Intelligence

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    Deogun, J., & Jiang, L. (2005). SPICE: A novel approach to data analysis. In Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005 (pp. 2432-2443). (Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005).