Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics

Shaibal Barua; Shahina Begum; Mobyen Ahmed

Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings

Research Article

Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics

Download

165 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-319-76213-5_16,
    author={Shaibal Barua and Shahina Begum and Mobyen Ahmed},
    title={Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics},
    proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings},
    proceedings_a={HEALTHYIOT},
    year={2018},
    month={2},
    keywords={Distributed analytics Case-based reasoning},
    doi={10.1007/978-3-319-76213-5_16}
}

Shaibal Barua
Shahina Begum
Mobyen Ahmed
Year: 2018
Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-76213-5_16

Shaibal Barua¹^,*, Shahina Begum¹^,*, Mobyen Ahmed¹^,*

1: Mälardalen University

*Contact email: shaibal.barua@mdh.se, shahina.begum@mdh.se, mobyen.ahmed@mdh.se

Abstract

This paper proposes a scalable framework for distributed case-based reasoning methodology to provide actionable knowledge based on historical big amount of data. The framework addresses several challenges, i.e., , -, -, -, -, , etc. through its’ five modules architectures. The architecture allows the functionalities with distributed data analytics and intended to provide solutions under different conditions, i.e. data size, velocity, variety etc.

Keywords: Distributed analytics Case-based reasoning

Published: 2018-02-21
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-76213-5_16