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2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (2013)
Melbourne, VIC Australia
July 16, 2013 to July 18, 2013
pp: 1283-1290
Daniele Apiletti , Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
Elena Baralis , Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
Tania Cerquitelli , Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
Silvia Chiusano , Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
Luigi Grimaudo , Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
ABSTRACT
Large volumes of data are being produced by various modern applications at an ever increasing rate. These applications range from wireless sensors networks to social networks. The automatic analysis of such huge data volume is a challenging task since a large amount of interesting knowledge can be extracted. Association rule mining is an exploratory data analysis method able to discover interesting and hidden correlations among data. Since this data mining process is characterized by computationally intensive tasks, efficient distributed approaches are needed to increase its scalability. This paper proposes a novel cloud-based service, named SEARUM, to efficiently mine association rules on a distributed computing model. SEARUM consists of a series of distributed MapReduce jobs run in the cloud. Each job performs a different step in the association rule mining process. As a case study, the proposed approach has been applied to the network data scenario. The experimental validation, performed on two real network datasets, shows the effectiveness and the efficiency of SEARUM in mining association rules on a distributed computing model.
INDEX TERMS
Itemsets, Association rules, Computer architecture, Computational modeling, Distributed computing, Clustering algorithms
CITATION

D. Apiletti, E. Baralis, T. Cerquitelli, S. Chiusano and L. Grimaudo, "SeaRum: A Cloud-Based Service for Association Rule Mining," 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications(TRUSTCOM), Melbourne, VIC Australia, 2014, pp. 1283-1290.
doi:10.1109/TrustCom.2013.153
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