title: [Data integration, data mining and visualization analysis of traditional Chinese medicine manufacturing process].
abstract: Huge amount of data becomes available from the pharmaceutical manufacturing process with wide application of in- dustrial automatic control technology in traditional Chinese medicine (TCM) industry. The industrial big data thus provides golden op- portunities to better understand the manufacturing process and improve the process performance. Therefore it is important to implement data integration and management systems in TCM plants to easily collect, integrate, store, analyze, communicate and visulize the data with high efficiency. It could break the data island and discover useful information and knowledge to improve the manufacturing process performance. The key supporting technologies for TCM manufacturing and industrial big data management were introduced in this paper, with a specific focus on data mining and visualization technologies. Using historic data collected from a manufacturing plant of Shengmai injection of SZYY group, we illustrated the usefulness and discussed future prospects of data mining and visualization technologies.
authors.forename: Zheng
authors.initials: Z
authors.lastname: Li
authors.forename: Li-Yuan
authors.initials: LY
authors.lastname: Kang
authors.forename: Xiao-Hui
authors.initials: XH
authors.lastname: Fan
mesh_terms: D016000:Cluster Analysis; D003196:Computer Graphics; D057225:Data Mining / Q000379:methods*; D008420:Manufactured Materials; D008516:Medicine, Chinese Traditional / Q000379:methods*; D011786:Quality Control