Abstract: Traditionally, education assets are shared insufficiently, and up to date slowly; the education records aren't applied adequately. What is worse, the traditional information filtering technique can't successfully mine preferred information, if the huge records has a heavy noise. This article offers an information mining technique from education huge records, on the premise of aid vector machine (SVM), and cleans the sampled odd records via records integration and conversion. Besides, the authors supplied a technique that mechanically builds education expertise image. Based at the filtered and mined education records, a neural community turned into designed to retrieve the subject matters of lecture room expertise, and the education correlations among those notions had been diagnosed from the assessment records via way of means of opportunity correlation rules. The outcomes display our technique carried out fantastic outcomes on coaching belief retrieval and education correlation recognition.

Keywords: Knowledge mining, neural network, knowledge image, education big data.

| DOI: 10.17148/IARJSET.2023.10114