Data Mining in Internet of Things
by Echelon Institute Echelon Institute of TechnologyData generated by commercially
internet of things (CIoT) have been growing in a very large exponential rate.
Data mining plays an essential role in deriving actionable information from
these raw data. By applying a variety of data mining technologies to historical
and real time data, building supervised or unsupervised models, deploying them
into the production environment to help business make better decisions,
significant value can be created resulting in reduced waste, improved
efficiency and broaden opportunity. The relation between data mining and
CIOT has found applications in commercial industries such as manufacturing,
energy, healthcare, retail, smart city and transportation.
A range of IoT
devices can be connected over a network and have data driving in from all
directions. That sure is a lot of data. But how do we make sense of all this
data to obtain valuable insights about customer’s health, home, and electricity
consumption? That’s where data mining comes to the save. If you look at the
whole data, it might appear as garbage. However, hidden patterns can be traced
and extracted by leveraging smart data mining algorithms to assemble and
examine the data to provide useful analytics.
Internet of Things (IoT) means
making the everyday objects ‘smart.’ It involves the installation of sensors
and controllers in the devices, allowing them to stay connected, communicate,
and share data over a network. The interesting catch here is that any device
that can generate data falls under the umbrella of ‘Internet of Things’ (IoT),
including smart homes, drones, wearable devices, smart vehicles, health
monitoring devices, and a range of sensors. Our college conduct many workshop
on Data mining, artificial intelligence, machine learning, IoT. Our college is
the best college in Faridabad. It is the top BBA and BCA College in Delhi NCR
as well as Haryana. It is the best B.tech College in Faridabad.
The data preparation stage
involves the integration of data from various data sources and cleaning the
data. On the other hand, the data mining stage is one where algorithms are
applied to find and evaluate the patterns from the data. The final stage is the
data presentation stage where the data is presented to the user to obtain
useful insights. However, the process of big data mining from IoT comes with
its own set of challenges such as disparate datasets, large volumes of data,
and the integrity of data sources. With the increasing popularity of IoT, new
solutions and data mining algorithms are being developed to tackle such
problems.
Ms. Bhawna
Assistant Professor
Department of Computer Science Engineering
Echelon Institute of Technology Faridabad
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Created on Oct 17th 2019 04:45. Viewed 706 times.