A Semi-structured Data Classification Model with Integrating Tag Sequence and Ngram-Reference-Cited by-同舟云学术

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A Semi-structured Data Classification Model with Integrating Tag Sequence and Ngram

Published:2021 Issue: Volume: Page:219-234
ISSN:0302-9743
Container-title:Database Systems for Advanced Applications
language:
Short-container-title:

Author:

Zhang Lijun^ORCID,Li Ning,Pan Wei,Li Zhanhuai

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-73197-7_14

Reference31 articles.

1. Costa, G., Ortale, R.: XML clustering by structure-constrained phrases: a fully-automatic approach using contextualized N-Grams. Int. J. Artif. Intell. Tools 26(1), 1–24 (2017)

2. Costa, G., Ortale, R.: Fully-automatic XML clustering by structure-constrained phrases. In: Proceedings IEEE 27th International Conference on Tools with Artificial Intelligence, Vietri sul Mare, Italy, pp. 146–153 (2015)

3. Tekli, J.: An overview on XML semantic disambiguation from unstructured text to semi-structured data: background, applications, and ongoing challenges. IEEE Trans. Knowl. Data Eng. 28(6), 1383–1407 (2016)

4. Piernik, M., Brzezinski, D., Morzy, T.: Clustering XML documents by patterns. Knowl. Inf. Syst. 46(1), 185–212 (2015). https://doi.org/10.1007/s10115-015-0820-0

5. Zhao, X., Bi, X., Wang, G., et al.: Uncertain XML documents classification using extreme learning machine. Neurocomputing 174, 375–382 (2016)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Overview on Supervised Semi-structured Data Classification;2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA);2021-10-06

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