Titlebook: Context-Aware Machine Learning and Mobile Data Analytics; Automated Rule-based Iqbal Sarker,Alan Colman,Paul Watters Book 2021 The Editor(s

myalgia

Deep Learning for Contextual Mobile Data Analyticsion 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

CLEFT

EPT

自戀

dissolution

Application Scenarios and Basic Structure for Context-Aware Machine Learning Frameworkial context-aware applications, which motivates research into context-aware machine learning framework and systems. The framework consists of several data processing layers starting from raw contextual data to application development, which has been presented in this chapter.

GORGE

混合,攙雜

MEEK

尾隨

Sustainability and Social Policy Nexusstances, the pre-processing steps have also been analyzed to clean and remove noises from raw data. Finally, the basic feature selection and extraction methods for efficient processing has also been provided in this chapter.

Condense

Proper Future Economic Policiesrecency-based updating and management of rules for mobile phone users has come to represent an important field of research. In this chapter, we present a recency-based approach for modeling individual’s behavior to resolve this issue.