Informatization Teaching Mode of Vision Sensor Digital Image and Fusion Association Rule Mining Algorithm

Abstract

Informatization teaching mode emerged under the tide of informatization development. The way of information dissemination and the process of human cognition have undergone tremendous changes in the era of informatization. Based on the vision sensor digital image and the fusion association rule mining algorithm, this paper studies the informatization teaching mode, aiming to analyze the influence of the vision sensor digital image and the fusion association rule mining algorithm on the foreign language teaching and enhance development decisions. The structure of digital image is analyzed by using image acquisition and processing technology and data transmission, and the digital image correlation method is explored. The use of data mining algorithms to conduct statistics on data integration related teaching documents in the past five years provides a strong basis for the data of the research process. In addition, in order to conduct a more detailed and comprehensive research on the informatization teaching model, the research scope was narrowed and the survey method was adopted to understand and collect data from relevant personnel and finally put forward constructive opinions for the purpose of the existing problems. The findings of the study demonstrated that the application of digital images can greatly expand the teaching content and greatly improve the creativity, experience, inclusiveness, and interactivity of teaching applications. The most obvious one is the sense of experience. The measured index has increased by 5.4 points.

Retracted: Informatization Teaching Mode of Vision Sensor Digital Image and Fusion Association Rule Mining Algorithm

“…Image and Fusion Association Rule Mining Algorithm" [1] due to concerns that the peer review process has been compromised. Following an investigation conducted by the Hindawi Research Integrity team [2], signifcant concerns were identifed with the peer reviewers assigned to this article; the investigation has concluded that the peer review process was compromised.…”