Hi,
I would like to investigate the possible clustering / data mining algorithms that can deployed in IOT applications. I have two general questions about IOT:
1- Are there exists clustering-based algorithms that are deployed in IOT?
2- Where can I find useful IOT data for experiment purposes?
Thank you
I was able to locate these two papers quickly:
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6674155
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5476146
There are lots more which you can locate through Internet search.
Your second question may have been answered before:
https://www.researchgate.net/post/Does_anyone_know_public_open_large_datasets_with_data_collected_from_IoT_objects_that_I_can_use_in_academic_research
Dear Abdulatif,
The massive data generated by the Internet of Things (IoT) are considered of high business value, and data mining algorithms can be applied to IoT to extract hidden information from data.
This review article, titled "Data Mining for the Internet of Things: Literature Review and Challenges" may be also useful for your work:
http://dx.doi.org/10.1155/2015/431047
In this paper an algorithm to detect user-object interactions in a context-aware environment is proposed:
http://ieeexplore.ieee.org/document/7156012/
In the following papers we propose a data mining approach that captures coincidences in information sequences as they are common in IoT. The approach is useful for event detection and hypothesis generation.
https://goo.gl/JAx7ec
https://goo.gl/wtD37k
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