Abstract
This paper proposes to extract incidental and global knowledge through Compact Pattern Trees in a hierarchical structure through distributed and parallel computing paradigm. This method also facilitates privacy preserving with a minimal communication load. We present the experiments on different kinds of benchmark datasets for proposed mechanism.
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Swarupa Rani, K., Kamakshi Prasad, V., Raghavendra Rao, C. (2012). Extracting Incidental and Global Knowledge through Compact Pattern Trees in Distributed Environment. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_31
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DOI: https://doi.org/10.1007/978-3-642-31900-6_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31899-3
Online ISBN: 978-3-642-31900-6
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