Reinforcement and non-reinforcement machine learning classifiers for user movement prediction
Authors: Anagnostopoulos, Theodoros 
Issue Date: 31-May-2013
Is Part of: Intelligent Technologies and Techniques for Pervasive Computing 
Keywords: Artificial intelligence, Computer science & IT, Engineering science reference, Ubiquitous & pervasive computing
Abstract: 
Mobile context-aware applications are required to sense and react to changing environment conditions. Such applications, usually, need to recognize, classify, and predict context in order to act efficiently, beforehand, for the benefit of the user. In this chapter, the authors propose a mobility prediction model, which deals with context representation and location prediction of moving users. Mach...
ISBN: 9781466640399
9781466640382
DOI: 10.4018/978-1-4666-4038-2.ch012
URI: https://uniwacris.uniwa.gr/handle/3000/2687
Type: Book Chapter
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Books / Βιβλία

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