Deep Learning for Contextual Mobile Data Analytics

Iqbal H. Sarker, Alan Colman, Jun Han and Paul Watters
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Iqbal H. Sarker: Swinburne University of Technology
Alan Colman: Swinburne University of Technology
Jun Han: Swinburne University of Technology
Paul Watters: Macquarie University

Chapter Chapter 9 in Context-Aware Machine Learning and Mobile Data Analytics, 2021, pp 137-146 from Springer

Abstract: Abstract Deep learning is considered as a part of the broader family of machine learning methods, which is based on artificial neural networks with representation learning. In the earlier chapters, we have presented methodologies to build context-aware machine learning systems through pre-processing steps of contextual raw data, extracting contextual rules, recent pattern-based rule updating and management, as well as rule-based expert system modeling and related issues. Although, the rule-based machine learning methods performed well in this regard discussed in the earlier chapters, deep learning can be used when a large amount of data is available. This chapter discusses the importance of deep learning and a deep learning based context-aware model for mobile phone users.

Keywords: Mobile data analytics; Deep learning; Artificial neural network; Context-aware computing; User behavior modeling; Predictive analytics; Intelligent applications (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-88530-4_9

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DOI: 10.1007/978-3-030-88530-4_9

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