Before we examine the value data mining is bringing to IoT, what is data mining?
We’ve discussed in previous posts how cloud connectivity is crucial for IoT. The cloud is needed to gather big data insights and analytics measured by sensors. But different sensors in different locations gather large amounts of low quality data, so how can you deal with the variety it brings?
Data mining is the discovery of interesting patterns from large data sets and hidden information. In this process, the data is “cleaned” from noise and algorithms evaluate patterns translated to knowledge.
Basically, we seek this knowledge in order to enhance our decision making capabilities. But what will these decisions be based on? Classification. In this stage we’ll assign objects to targets. This is important when evaluating between a few labels. For example, when evaluating potential costumer characteristics (and choosing the right ones over others). Clustering divides the data into homogeneous groups. This helps to identify patterns from the collected data. Association analysis targets associations that occur frequently, leading to more precise insights and again, better decisions. Finally, the icing on the cake is the times series prediction – i.e, an estimation of what future data can be based on.
So what does all this have to do with IoT? The biggest value gained from the Internet of Things is the large volumes of data gathered from the physical world. The important challenge that data mining is solving is the extraction of useful information for future actions.
It’s the era of data, and IoT is enabling us to get insights from everywhere and everything in the physical world. This new knowledge can help companies reduce costs and improve business operations in general. For more info contact our team of experts firstname.lastname@example.org and check out the Atomation website.