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

叫喊

Contextual Mobile Datasets, Pre-processing and Feature Selectionstances, 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.

single

Recency-Based Updating and Dynamic Management of Contextual Rulesrecency-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.

著名

Wei Guo,Xiaoli Wang,Zhi Deng,Hongpeng Liof individual mobile phone users. We also highlight the limitations of previous work in the field of context-aware computing, which motivates the need for further study based on machine learning techniques.

Obscure

https://doi.org/10.1007/978-3-031-06493-7ate optimal time segments of individuals with similar behavioral characteristics. Moreover, how the generated segments can be used to produce a set of temporal behavioral rules according to users’ preferences, has been presented. Finally, some experimental results to show the effectiveness of the technique have also been provided.