Contextual Mobile Datasets, Pre-processing and Feature Selection

Iqbal H. Sarker, Alan Colman, Jun Han and Paul Watters
Additional contact information
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 4 in Context-Aware Machine Learning and Mobile Data Analytics, 2021, pp 59-73 from Springer

Abstract: Abstract Context-aware computing has been explored by many research communities and industries for various applications. In the earlier chapters, we have presented various components of context-aware machine learning framework and systems with their related issues, where contextual data acquisition is the primary step for context-aware machine learning modeling. In this chapter, we present several contextual datasets that can be utilized to build a machine learning based context-aware model for corresponding mobile applications and services. As the real-world data may contain noisy and inconsistency instances, 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.

Keywords: Context-aware computing; Machine learning; User behavior modeling; Data analytics; Data-processing; Intelligent applications (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-88530-4_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030885304

DOI: 10.1007/978-3-030-88530-4_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().