Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data
verfasst von : Fatimah B. Abdullahi, Frans Coenen, Russell Martin
Erschienen in: Data Warehousing and Knowledge Discovery
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
A banded pattern in “zero-one” high dimensional data is one where all the dimensions can be organized in such a way that the “ones” are arranged along the leading diagonal across the dimensions. Rearranging zero-one data so as to feature bandedness allows for the identification of hidden information and enhances the operation of many data mining algorithms that work with zero-one data. In this paper an effective ND banding algorithm, the ND-BPM algorithm, is presented together with a full evaluation of its operation. To illustrate the utility of the banded pattern concept a case study using the GB Cattle movement database is also presented.