Anzeige
Erschienen in:
2016 | OriginalPaper | Buchkapitel
On Context Awareness and Analysis of Various Classification Algorithms
verfasst von : Umang Nanda, Shrey Rajput, Himanshu Agrawal, Antriksh Goel, Mohit Gurnani
Erschienen in: Proceedings of the Second International Conference on Computer and Communication Technologies
Verlag: Springer India
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Internet of Things (IoT) is currently connecting 9 billion devices and is expected to grow by three times in next 5 years, and hence will connect over 27 billion devices. IoT is touching every walk of human life such as health care, smart utilities, smart grid, smart homes, and smart spaces. To make things or object smart, IoT middleware makes use of appropriate intelligent mechanisms. Context-aware solutions are addressing the challenges of IoT middleware, hence becoming an important building block. We provide an analytical study of various algorithms for classification. We consider three algorithms and test the performances of each on small dataset as well as on larger dataset with 1969 instances. Performance evaluation is done using Mean Square Error and Absolute Mean Square Error.