Analysis and Implementation of Job Repeatability Detection Algorithm
Authors
Qing Tian, Jun-ling Zhu, Qun-le Fang, Qiao-wen Long
Corresponding Author
Qing Tian
Available Online May 2017.
- DOI
- 10.2991/icaset-17.2017.18How to use a DOI?
- Keywords
- Vector space model, Job repeatability check, JaccardSimilarity, Lenvenshtein distance, ShingLing algorithm
- Abstract
With the office automation and development of paperless needs, the electronic homework is more and more widely used in colleges and universities, but the characteristics of being easier to copy makes copying phenomenon more and more serious, the cost of copying homework is lower and lower. Therefore this paper specializes in the repeatability of detection algorithm targeting the features of Chinese homework, which puts its focus on the study of space vector algorithm and its implementation process, besides comparing JaccardSimilarity method, ShingLing algorithm and Lenvenshtein distance algorithm, the result can show us that vector space model algorithm is more applicable to homework repetition detection.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qing Tian AU - Jun-ling Zhu AU - Qun-le Fang AU - Qiao-wen Long PY - 2017/05 DA - 2017/05 TI - Analysis and Implementation of Job Repeatability Detection Algorithm BT - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017) PB - Atlantis Press SP - 96 EP - 102 SN - 2352-5401 UR - https://doi.org/10.2991/icaset-17.2017.18 DO - 10.2991/icaset-17.2017.18 ID - Tian2017/05 ER -