Industrial Internet Application Development

IoT data analytics algorithms

According to smart data characteristics, analytics algorithms should be able to handle big data, that is, the IoT needs algorithms that can analyze the data that comes from a variety of sources in real time. Many attempts are made to address this issue. For example, deep learning algorithms, an evolved form of neural networks, can reach a high accuracy rate if they have enough data and time. Deep learning algorithms can be easily influenced smart noisy data; furthermore, neural network-based algorithms lack interpretation, that is, data scientists cannot understand the reasons for the model results. In the same manner, semi-supervised algorithms, which model the small amount of labeled data with a large amount ...