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Modeling and predicting the popularity of online contents with Cox proportional hazard regression model.

, , and . Neurocomputing, 76 (1): 134-145 (2012)

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An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors., , and . Web Intelligence, page 623-630. IEEE Computer Society, (2010)Big data for government policy: Potential implementations of bigdata for official statistics in Indonesia., , , , , , , , , and . IWBIS, page 17-21. IEEE, (2017)Has much potential but biased: exploring the scholarly landscape in twitter., and . WWW (Companion Volume), page 563-564. ACM, (2014)Modeling and predicting the popularity of online contents with Cox proportional hazard regression model., , and . Neurocomputing, 76 (1): 134-145 (2012)Mining Social Media to Inform Peatland Fire and Haze Disaster Management., , , and . CoRR, (2017)UNPMC: Naive Approach to Extract Keyphrases from Scientific Articles., , and . SemEval@ACL, page 178-181. The Association for Computer Linguistics, (2010)Nowcasting Air Quality by Fusing Insights from Meteorological Data, Satellite Imagery and Social Media Images Using Deep Learning., , , and . ASONAM, page 393-396. IEEE Computer Society, (2018)Estimating the Quality of Crowdsourced Translations Based on the Characteristics of Source and Target Words and Participants., , , , , , , and . ASONAM, page 151-158. IEEE Computer Society, (2018)Understanding the characteristics of online commenting., and . CoNEXT, page 59. ACM, (2008)Faving Reciprocity in Content Sharing Communities: A Comparative Analysis of Flickr and Twitter., , and . ASONAM, page 136-143. IEEE Computer Society, (2010)