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ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
ACM2015 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
ASONAM '15: Advances in Social Networks Analysis and Mining 2015 Paris France August 25 - 28, 2015
ISBN:
978-1-4503-3854-7
Published:
25 August 2015
Sponsors:
SIGKDD, IEEE CS
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SESSION: FAB - S4: Applications
research-article
Using Arabic Microblogs Features in Determining Credibility

The increased usage of Twitter as a medium for reporting news and sharing information between people has caught the attention of researchers from different disciplines. One of the research directions is the analysis of online information from the ...

research-article
A Case Study for the Churn Prediction in Turksat Internet Service Subscription

Churn prediction is a customer relationship process that predicts for customers who are at the brink of transferring all the business to competitor. It is predicted by modeling customer behaviors in order to extract patterns. An acquaintance of a ...

research-article
Implementation of Chaotic Analysis on Retweet Time Series

Retweet has become one of the most prominent feature on social networks and an important mean for secondary content promotion. Most existing investigations of retweet behaviors on social networks are conducted based on empirical studies or information ...

research-article
The Good, the Bad and their Kins: Identifying Questions with Negative Scores in StackOverflow

A rapid increase in the number of questions posted on community question answering (CQA) forums is creating a need for automated methods of question quality moderation to improve the effectiveness of such forums in terms of response time and quality. ...

short-paper
Mining Open and Crowdsourced Data to Improve Situational Awareness for Railway

This paper describes on-going research developing a system to harvest and utilise open and crowdsourced data related to the UK railway systems. This system will allow the controllers and decision makers to listen to the messages posted on social ...

short-paper
Streaming Linear Regression on Spark MLlib and MOA

In recent years, analyzing data streams has attracted considerable attention in different fields of computer science. In this paper, two different frameworks, namely MOA and Spark MLlib, are examined for linear regression on streaming data. The focus is ...

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    Acceptance Rates

    Overall Acceptance Rate 116 of 549 submissions, 21%
    YearSubmittedAcceptedRate
    ASONAM '231455337%
    ASONAM '211182219%
    ASONAM '192864114%
    Overall54911621%