WiMi Hologram Cloud Develops AI Information Management Platform Based on Data Mining Algorithm
WiMi Hologram Cloud a leading global Hologram Augmented Reality (“AR”) Technology provider, announced that to address the limitations of existing tools and products in big data mining, a new artificial intelligence information management platform based on data mining algorithm is developed. It is user-friendly and supports efficient computation and fast integration in a distributed environment during data mining tasks.
WiMi’s AI information management platform uses artificial intelligence, machine learning, and deep learning techniques to extract hidden, previously unknown, and potentially valuable information from massive amounts of data. Its main goal is to extract supersets of information from many data sources and fuse them to reveal their deep structure and internal connections. Building information on top of a distributed heterogeneous environment can significantly reduce the complexity that different physical environments bring to the task of constructing data analysis and make full use of the power of distributed computing to enhance the efficiency of data analysis. In addition, the platform’s computing resources are dynamically increased or decreased, allowing it to adjust physical computing resources online according to the number of specific analysis tasks. Also, the friendly user interface provides excellent convenience for building different big data mining applications based on the platform.
The platform uses genetic algorithms, coarse sets, decision trees, and neural networks to divide the general steps of data mining into: analyzing the problem; extracting, cleaning, and validating the data; creating and debugging the model; and maintaining the data mining model.
Problem analysis can determine whether the source database meets the data mining criteria. Extraction, cleaning, and validation of the data to remove noise from the data and obtain complete and uniform data. Apply the selected data mining algorithm to the data to create a model, and use the data to verify and adjust the model. Then the platform can obtain a data model that meets the usage requirements. As the amount of data increases, some fundamental information changes may seriously affect the model’s accuracy. The model needs to be adjusted and maintained, and the accuracy of the severe model and model maintenance is an essential part of data mining. Model maintenance can keep the vitality of the model and continuously improve the model.
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The advent of the big data era has led to an explosion of data accumulated in various industries. The demand for data mining will become stronger and stronger, and the combination with various professional fields will be more and more extensive. Whether in science or engineering, theoretical research, or real life, WiMi’s data mining algorithm-based artificial intelligence information management platform will have a vast development prospect.
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