Tenth ACM International Conference on Web Search and Data Mining , 2017-02-06

Title : ( Mining Actionable Insights from Social Networksat WSDM 2017 )

Authors: F Ensan , Zeinab Noorian , Ebrahim Bagheri ,

Citation: BibTeX | EndNote

Abstract

The first international workshop on Mining Actionable Insights from Social Networks (MAISoN'17) is to be held on February 10, 2017; co-located with the Tenth ACM International Web Search and Data Mining (WSDM) Conference in Cambridge, UK. MAISoN'17 aims at bringing together researchers and participants from different disciplines such as computer science, big data mining, machine learning, social network analysis and other related areas in order to identify challenging problems and share ideas, algorithms, and technologies for mining actionable insight from social network data. We organized a workshop program that includes the presentation of eight peer-reviewed papers and keynote talks, which foster discussions around state-of-the-art in social network mining and will hopefully lead to future collaborations and exchanges.

Keywords

, Social Networks, Actionable Insights
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@inproceedings{paperid:1062203,
author = {Ensan, F and Zeinab Noorian and Ebrahim Bagheri},
title = {Mining Actionable Insights from Social Networksat WSDM 2017},
booktitle = {Tenth ACM International Conference on Web Search and Data Mining},
year = {2017},
location = {Cambridge, ENGLAND},
keywords = {Social Networks; Actionable Insights},
}

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%0 Conference Proceedings
%T Mining Actionable Insights from Social Networksat WSDM 2017
%A Ensan, F
%A Zeinab Noorian
%A Ebrahim Bagheri
%J Tenth ACM International Conference on Web Search and Data Mining
%D 2017

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