Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84039
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dc.contributor.authorNiyato, Dusiten
dc.contributor.authorAbu Alsheikh, Mohammaden
dc.contributor.authorLin, Shaoweien
dc.contributor.authorTan, Hwee-Pinken
dc.contributor.authorHan, Zhuen
dc.date.accessioned2016-10-26T09:29:59Zen
dc.date.accessioned2019-12-06T15:37:01Z-
dc.date.available2016-10-26T09:29:59Zen
dc.date.available2019-12-06T15:37:01Z-
dc.date.issued2016en
dc.identifier.citationAbu Alsheikh, M., Niyato, D., Lin, S., Tan, H.-P., & Han, Z. (2016). Mobile big data analytics using deep learning and Apache Spark. IEEE Network, 30(3), 22-29.en
dc.identifier.issn0890-8044en
dc.identifier.urihttps://hdl.handle.net/10356/84039-
dc.description.abstractThe proliferation of mobile devices, such as smartphones and Internet of Things (IoT) gadgets, results in the recent mobile big data (MBD) era. Collecting MBD is unprofitable unless suitable analytics and learning methods are utilized for extracting meaningful information and hidden patterns from data. This article presents an overview and brief tutorial of deep learning in MBD analytics and discusses a scalable learning framework over Apache Spark. Specifically, the learning of deep models is executed as an iterative MapReduce computing on many Spark workers. Each Spark worker learns a partial deep model on a partition of the overall MBD, and a master deep model is then built by averaging the parameters of all partial models. This Spark-based framework speeds up the learning of deep models consisting of many hidden layers and millions of parameters. We use a context-aware activity recognition application with a real-world dataset containing millions of samples to validate our framework and assess its speedup effectiveness.en
dc.description.sponsorshipASTAR (Agency for Sci., Tech. and Research, S’pore)en
dc.format.extent9 p.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Networken
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/MNET.2016.7474340].en
dc.subjectDistributed deep learningen
dc.subjectBig dataen
dc.titleMobile big data analytics using deep learning and Apache Sparken
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.identifier.doi10.1109/MNET.2016.7474340en
dc.description.versionAccepted versionen
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item.grantfulltextopen-
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