Big data automatic analysis system and its applications in rockburst experiment

Bai, Yanping; He, Min; Lv, Zhaoyong; Li, Yongzhen

doi:10.1504/ijcse.2019.099070

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, there are many fusion algorithms. In this paper, the multi-target track of early warning detection is fused in real time by using association rules, and the demodulation information is mined offline by using the clustering method based on cosine distance measurement [3]. The combination of real-time track data fusion and offline demodulation information data mining makes the early warning detection information processing system confirm and complement each other in technical investigation, and the function of early warning detection information processing is more powerful.…”

Section: Data Fusion Principle Of Early Warning Detectionmentioning

confidence: 99%

Research and Application of Data Fusion and Data Mining in Early Warning Detection Intelligence Processing System

Zhang¹,

Shi²,

Liu³

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

As a key technology of modern intelligence systems, Intelligence processing is a famous research area, and plays a basic role in the economy of the country especially in the early warning detection intelligence processing system. The basic theory of data fusion and date mining is comprehensively expounded, and real-time requirements of multi-target track data fusion, as well as offline demodulation timely information on characteristics of data mining, is deeply studied. Firstly, this paper discusses roundly the theory of association rules, which is an important research method of early warning intelligence data mining, proposes a new weighted probabilistic data association algorithm and improves joint probabilistic data association algorithm. Secondly, the knowledge of early warning intelligence data warehouse is detailed, and Law of cosines-text clustering algorithm based on distance is highlighted and extended. Finally, through the integration of real-time data integration and off-line data mining, the practical problems in information processing are effectively solved.

show abstract

Section: Data Fusion Principle Of Early Warning Detectionmentioning

confidence: 99%