Collective classification in social networks

Classification is one of the most studied subjects in machine learning. Most classification methods that were developed this last decade either account for structure (interactions, relationships) or attributes (text, numerical, etc). This leads to ignoring significant patterns in a dataset that coul...

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Bibliographic Details
Published in:	2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) pp. 827 - 835
Main Authors:	Jaafor, Omar, Birregah, Babiga
Format:	Conference Proceeding
Language:	English
Published:	New York, NY, USA ACM 31.07.2017
Series:	ACM Conferences
Subjects:	collective classification Human-centered computing Human-centered computing > Collaborative and social computing Human-centered computing > Collaborative and social computing > Collaborative and social computing systems and tools Human-centered computing > Collaborative and social computing > Collaborative and social computing systems and tools > Social networking sites Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms > Social media Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms > Social networks Human-centered computing > Human computer interaction (HCI) Human-centered computing > Human computer interaction (HCI) > Interaction paradigms Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Web-based interaction Information systems Information systems > Information systems applications Information systems > Information systems applications > Collaborative and social computing systems and tools Information systems > Information systems applications > Collaborative and social computing systems and tools > Social networking sites Information systems > Information systems applications > Data mining Information systems > World Wide Web Information systems > World Wide Web > Web applications Information systems > World Wide Web > Web applications > Social networks multi-layer networks Networks Networks > Network types Networks > Network types > Overlay and other logical network structures Networks > Network types > Overlay and other logical network structures > Online social networks Semi-supervised classification social networks surveillance unbalanced data Semi-supervised classification unbalanced data collective classification surveillance multi-layer networks social networks
ISBN:	1450349935, 9781450349932
ISSN:	2473-991X
Online Access:	Get full text
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