改进教科书的数据挖掘

SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining Pub Date : 2012-05-01 DOI:10.1145/2207243.2207246

R. Agrawal, Sreenivas Gollapudi, A. Kannan, K. Kenthapadi

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引用次数: 40

摘要

我们提出了我们在开发基于数据挖掘的方法来提高教科书质量方面的早期探索。我们描述了一种诊断工具，以算法识别教科书中的缺陷部分。我们还讨论了用从网络中挖掘的选择性内容的链接来通过算法增加教科书章节的技术。我们的评估采用了印度广泛使用的教科书，表明开发技术方法来帮助改进教科书是有希望的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data mining for improving textbooks

We present our early explorations into developing a data mining based approach for enhancing the quality of textbooks. We describe a diagnostic tool to algorithmically identify deficient sections in textbooks. We also discuss techniques for algorithmically augmenting textbook sections with links to selective content mined from the Web. Our evaluation, employing widely-used textbooks from India, indicates that developing technological approaches to help improve textbooks holds promise.

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SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining

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