Visualizing the impact of time series data for predicting user interactions.
B. Macek, и M. Atzmueller. Proceeding ASONAM '13 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, стр. 1477-1478. ACM New York, (2013)
%0 Conference Paper
%1 macek2013visualizing
%A Macek, Björn-Elmar
%A Atzmueller, Martin
%B Proceeding ASONAM '13 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
%D 2013
%I ACM New York
%K 2013 dblp diffusion iteg itegpub kde l3s linkprediction mykopie myown series time venus visualizing
%P 1477-1478
%T Visualizing the impact of time series data for predicting user interactions.
@inproceedings{macek2013visualizing,
added-at = {2015-04-15T09:08:04.000+0200},
author = {Macek, Björn-Elmar and Atzmueller, Martin},
biburl = {https://www.bibsonomy.org/bibtex/299b295eca7dfce56fb34d5ccf9ae4a6d/kdepublication},
booktitle = {Proceeding ASONAM '13 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining},
interhash = {d8cd9de635a391360c1663c0ec1ba35d},
intrahash = {99b295eca7dfce56fb34d5ccf9ae4a6d},
keywords = {2013 dblp diffusion iteg itegpub kde l3s linkprediction mykopie myown series time venus visualizing},
pages = {1477-1478},
publisher = {ACM New York},
timestamp = {2015-04-24T14:30:50.000+0200},
title = {Visualizing the impact of time series data for predicting user interactions.},
year = 2013
}
