The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Data Mining for the Internet of Things
Abstract
The Internet of Things concept arises from the need to manage, automate, and explore all devices, instruments and sensors in the world. In order to make wise decisions both for people and for the things in IoT, data mining technologies are integrated with IoT technologies for decision making support and system optimization. Data mining involves discovering novel, interesting, and potentially useful patterns from data and applying algorithms to the extraction of hidden information. Data mining is classified into three different views: knowledge view, technique view, and application view. The challenges in the data mining algorithms for IoT are discussed and a suggested big data mining system is proposed.
Related Content
|
N. Geethanjali, K. M. Ashifa, Avantika Raina, Jayashree Patil, Rameshwaran Byloppilly, S. Suman Rajest.
© 2024.
19 pages.
|
|
Praveen Kakada, Muhammed Shafi M. K..
© 2024.
14 pages.
|
|
P. S. Venkateswaran, Divya Marupaka, Sachin Parate, Amit Bhanushali, Latha Thammareddi, P. Paramasivan.
© 2024.
15 pages.
|
|
M. Lishmah Dominic, P. S. Venkateswaran, Latha Thamma Reddi, Sandeep Rangineni, R. Regin, S. Suman Rajest.
© 2024.
15 pages.
|
|
S. Sivabala, P. Vidyasri.
© 2024.
23 pages.
|
|
H. Hajra, G. Jayalakshmi.
© 2024.
22 pages.
|
|
Anusha Thakur.
© 2024.
15 pages.
|
|
|