Open AccessTechniques, Models and Challenges of Data Mining in Internet of Things (IOT)
Author(s) -
M. Prabha,
Dr R Viswanathan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5238.118419
Subject(s) - interfacing , internet of things , computer science , process (computing) , field (mathematics) , data science , big data , the internet , business model , object (grammar) , world wide web , data mining , artificial intelligence , business , mathematics , computer hardware , marketing , pure mathematics , operating system
Due to many achievements in the field of communication and sensor networks, Internet of Things becomes an emerging technology which makes the human life easier and comfortable. This technology development paves the way to work and live in a comfortable manner. In internet, interfacing of any object is very difficult, but IoT makes the process very easier that too in a short span of time. In IoT, a huge of amount of data has been captured that is considered as huge business and social value data’s’. So, IoT needs a model which is used to extract those high business data. Thus, data mining is a process which extracts high business data from huge amount of data easily. In this paper, a systematic review has been carried out on various data mining techniques and models that have been applied in IoT. Also its advantages and disadvantages have been discussed along with the challenges and future trends of IoT..