NDLI: Misleading Generalized Itemset Mining in the Cloud

Content Provider	IEEE Xplore Digital Library
Author	Baralis, E. Cagliero, L. Cerquitelli, T. Chiusano, S. Garza, P. Grimaudo, L. Pulvirenti, F.
Copyright Year	2014
Description	Author affiliation: Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy (Baralis, E.; Cagliero, L.; Cerquitelli, T.; Chiusano, S.; Garza, P.; Grimaudo, L.; Pulvirenti, F.)
Abstract	In the era of smart cities huge data volumes are continuously generated and collected, thus prompting the need for efficient and distributed data mining approaches. Generalized itemset mining is an established data mining technique, which entails the discovery of multiple-level patterns hidden in the analyzed data by exploiting analyst-provided taxonomies. Among the generalized itemsets, the most peculiar high-level patterns are those with many contrasting correlations among items at different abstraction levels. They represent misleading situations that are worth analyzing separately by experts during manual inspection. This paper proposes a novel cloud-based service, named MGI-CLOUD, to efficiently mine misleading multiple-level patterns, i.e., the Misleading Generalized Itemsets, on a distributed computing environment. MGI-CLOUD consists of a set of distributed MapReduce jobs running in the cloud. As a case study, the system has been contextualized in a real-life scenario, i.e., the analysis of traffic law infractions committed in a smart city environment. The experiments, performed on real datasets, demonstrate the efficiency and effectiveness of MGI-CLOUD.
Starting Page	211
Ending Page	216
File Size	218672
Page Count	6
File Format	PDF
ISBN	9781479942930
DOI	10.1109/ISPA.2014.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Itemsets Taxonomy cloud-based service Distributed databases Cities and towns distributed computing model Big data Data mining Generalized itemset mining smart city
Content Type	Text
Resource Type	Article

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