Classifying Big Data over Networks Via the Logistic Network Lasso

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Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2019-02-19
Major/Subject
Mcode
Degree programme
Language
en
Pages
4
855-858
Series
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, Volume 2018-October
Abstract
We apply network Lasso to solve binary classification and clustering problems on network structured data. In particular we generalize ordinary logistic regression to non-Euclidean data defined over a complex network structure. The resulting logistic network Lasso classifier amounts to solving a convex optimization problem. A scalable classification algorithm is obtained by applying the alternating direction methods of multipliers.
Description
Keywords
big data over networks, classification, clustering, complex networks, compressed sensing, convex optimization, semi-supervised learning
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Citation
Ambos , H , Tran , N & Jung , A 2019 , Classifying Big Data over Networks Via the Logistic Network Lasso . in M B Matthews (ed.) , 2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS . vol. 2018-October , 8645260 , IEEE , pp. 855-858 , Asilomar Conference on Signals, Systems & Computers , Pacific Grove , United States , 28/10/2018 . https://doi.org/10.1109/ACSSC.2018.8645260