Abstract
In order to generate a report for an enterprise where there is neither the API supporting from their existing website systems nor the granted database access rights approval, a daily business report generator system based on web scraping with k nearest neighbor (kNN) classification algorithm is proposed in this paper. It covers the web crawler technology that is to access existing website system and extract business data. The kNN algorithm is applied to identify the verification code on the login page, and the brief daily report generating in a spread-sheet style grid. Compared with some OCR engine for image recognition, the system in Python can automatically generate the brief daily business reports by the kNN algorithm, which is better than some library with default training set on validating the verification code.
Cite
CITATION STYLE
Lin, G., Liang, Y., Fu, X., Chen, G., & Cai, S. (2019). Design of a Daily Brief Business Report Generator based on Web Scraping with KNN Algorithm. In Journal of Physics: Conference Series (Vol. 1345). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1345/5/052064
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.