Digital Group

@inproceedings{ouled_dlala_1753,

title = {Parallel SAT based closed frequent itemsets enumeration},

author = {Imen Ouled Dlala and Said Jabbour and Lakhdar Sais and Yakoub Salhi and Boutheina Ben Yaghlane},

url = {https://doi.org/10.1109/AICCSA.2015.7507151},

issn = {978-1-5090-0479-9},

year  = {2015},

date = {2015-11-01},

booktitle = {2015 IEEE/ACS 12th International Conference of Computer Systems and Applications},

address = {Marrakech, Morocco},

abstract = {Frequent itemset mining (FIM) is a useful task for discovering frequent co-occurring items. Since its inception, a number of significant FIM algorithms have been developed to speed up mining performances. Unfortunately, for huge dataset, scalability remains an important issue. In this work, we propose a new propositional satisfiability (SAT) parallel approach, called PSATCFIM, to deal with closed frequent itemsets mining problem. It is designed to run on multicore machines and uses a divide and conquer approach to partition the enumeration process. Such partitioning based on guiding paths eliminates computational overlap between cores. Through empirical study, we demonstrate that PSATCFIM can achieve significant performance improvements with respect to the sequential based version.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{djebali_388,

title = {SimplePARQL: a new approach using keywords over SPARQL to query the web of data},

author = {Sonia Djebali and Thomas Raimbault},

url = {http://ceur-ws.org/Vol-1481/},

year  = {2015},

date = {2015-09-01},

booktitle = {Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems - SEMANTiCS2015},

volume = {1481},

pages = {p43},

address = {Vienna, Austria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{branchet_378,

title = {A new area tourist ranking method},

author = {Bérangère Branchet and Gaël Chareyron and Sébastien Jacquot},

url = {https://ieeexplore.ieee.org/document/7364126},

issn = {ISBN: 978-1-4799-9926-2},

year  = {2015},

date = {2015-08-01},

booktitle = {Proceedings of the 2015 IEEE International Conference on Big Data (Big Data)},

pages = {2930-2932},

address = {Santa Clara, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ouled_dlala_1752,

title = {Trolls Identification within an Uncertain Framework},

author = {Imen Ouled Dlala and Dorra Attiaoui and Arnaud Martin and Boutheina Ben Yaghlane},

url = {https://doi.org/10.1109/ICTAI.2014.153},

issn = {978-1-4799-6572-4},

year  = {2014},

date = {2014-11-01},

booktitle = {26th {IEEE} International Conference on Tools with Artificial Intelligence},

address = {Limassol, Cyprus},

abstract = {The web plays an important role in people's social lives since the emergence of Web 2.0. It facilitates the interaction between users, gives them the possibility to freely interact, share and collaborate through social networks, online communities forums, blogs, wikis and other online collaborative media. However, an other side of the web is negatively taken such as posting inflammatory messages. Thus, when dealing with the online communities forums, the managers seek to always enhance the performance of such platforms. In fact, to keep the serenity and prohibit the disturbance of the normal atmosphere, managers always try to novice users against these malicious persons by posting such message (DO NOT FEED TROLLS). But, this kind of warning is not enough to reduce this phenomenon. In this context we propose a new approach for detecting malicious people also called 'Trolls' in order to allow community managers to take their ability to post online. To be more realistic, our proposal is defined within an uncertain framework. Based on the assumption consisting on the trolls' integration in the successful discussion threads, we try to detect the presence of such malicious users. Indeed, this method is based on a conflict measure of the belief function theory applied between the different messages of the thread. In order to show the feasibility and the result of our approach, we test it in different simulated data.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{taieb_732,

title = {La congruence culturelle du site web influence-t-elle les réactions affectives envers le site ?},

author = {Basma Taieb and Boris Bartikowski},

url = {http://archives.marketing-trends-congress.com/2014/index.html},

issn = {ISBN 978-2-9532811-7-0},

year  = {2014},

date = {2014-01-01},

booktitle = {13th International Marketing Trends Conference},

address = {Venise, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}