z-logo
open-access-imgOpen Access
Discrimination Aware Data Mining in Internet of Things (IoT)
Author(s) -
Asmita Gorave,
Vrushali Kulkarni
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017912894
Subject(s) - computer science , internet of things , world wide web , data science , computer security
IoT is a technology where objects around us will be able to connect to each other and communicate via Internet. Recently, IoT has become an important technology in the world of Internet. However, it comes across problem of big data and extracting knowledge from such data using data mining techniques. Recently, it is observed that data mining increases the risk of violation of fundamental human right, called nondiscrimination. It is obvious that data mining tasks in IoT will also face the risk of discrimination. Discrimination Aware Data Mining is an area which deals with finding methods to discover and/or prevent discrimination. This paper is the first step towards finding discrimination related issues in IoT. This paper describes discrimination discovery and prevention issues faced by IoT. This paper also specifies the huge future research avenue related to discrimination aware data mining in IoT.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom