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Privacy Preserving Multiclass Classification for Horizontally Distributed Data by Lu, Yunmei ;Yan, Mingyuan ;Han, Meng ;Zhang, Qingliang ;Zhang, Yanqing is a scholarly article available to read on EtoBox.

What is Privacy Preserving Multiclass Classification for Horizontally Distributed Data about?

With the advent of the era of big data, applying data mining techniques on assembling data from multiple parties (or sources) has become a leading trend. In this work, a Privacy Preserving Multiclass Classification (PPM2C) method is proposed. Experimental results show that PPM2C is workable and stable.

Author

Lu, Yunmei ;Yan, Mingyuan ;Han, Meng ;Zhang, Qingliang ;Zhang, Yanqing

Publisher

ACM Press

Published

2018

Language

EN