%0 Conference Paper %1 wang_keywords_2020 %A Wang, Na %A Wang, Jinguo %B International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 %D 2020 %E Abawajy, Jemal H. %E Choo, Kim-Kwang Raymond %E Islam, Rafiqul %E Xu, Zheng %E Atiquzzaman, Mohammed %I Springer International Publishing %K terminologieextraktion %P 1670--1674 %T Keywords extraction of medical information in the era of big data %X This paper introduces a kind of network intelligence collection system and the system structure, combined with the architecture analysis of key techniques and implementation methods in the process of system implementation. It generated in the improvement of cyber intelligence automatically. The generation process of key words and the sentence extraction algorithm and analysis of the quality evaluation method provide the measures to guarantee the safe operation of the system. In order to overcome the shortcoming of low precision of the traditional medical keyword extraction, the article puts forward a kind of multistage medical keyword extraction algorithm on the base of the statistical characteristics. The algorithm USES which is the word index of discrete coefficient formula eliminates noise, builds word frequency - reverse text information on weights of evaluation function to measure the importance of keywords, on the base of frequency skewness, words, and position of words. The experimental results show that the algorithm is superior to the traditional method, and in the era of big data it has extensive application value in the network information monitoring. %@ 978-3-030-25128-4

@inproceedings{wang_keywords_2020, abstract = {This paper introduces a kind of network intelligence collection system and the system structure, combined with the architecture analysis of key techniques and implementation methods in the process of system implementation. It generated in the improvement of cyber intelligence automatically. The generation process of key words and the sentence extraction algorithm and analysis of the quality evaluation method provide the measures to guarantee the safe operation of the system. In order to overcome the shortcoming of low precision of the traditional medical keyword extraction, the article puts forward a kind of multistage medical keyword extraction algorithm on the base of the statistical characteristics. The algorithm USES which is the word index of discrete coefficient formula eliminates noise, builds word frequency - reverse text information on weights of evaluation function to measure the importance of keywords, on the base of frequency skewness, words, and position of words. The experimental results show that the algorithm is superior to the traditional method, and in the era of big data it has extensive application value in the network information monitoring.}, added-at = {2019-08-29T15:57:20.000+0200}, author = {Wang, Na and Wang, Jinguo}, biburl = {https://www.bibsonomy.org/bibtex/26d677906ec4b00b7d13784e2284110b2/lepsky}, booktitle = {International {Conference} on {Applications} and {Techniques} in {Cyber} {Intelligence} {ATCI} 2019}, editor = {Abawajy, Jemal H. and Choo, Kim-Kwang Raymond and Islam, Rafiqul and Xu, Zheng and Atiquzzaman, Mohammed}, interhash = {8ab3edec07840603d1ec25253e201a88}, intrahash = {6d677906ec4b00b7d13784e2284110b2}, isbn = {978-3-030-25128-4}, keywords = {terminologieextraktion}, language = {en}, pages = {1670--1674}, publisher = {Springer International Publishing}, series = {Advances in {Intelligent} {Systems} and {Computing}}, timestamp = {2019-08-29T15:57:20.000+0200}, title = {Keywords extraction of medical information in the era of big data}, year = 2020 }