Analysis of the Quality of the Painting Process Using Preprocessing Techniques of Text Mining

Autor:	Hans-Christian Heidecke, Pavol Tanuska, Veronika Simoncicova, Stefan Rydzi
Rok vydání:	2018
Předmět:	Data set Painting Information retrieval Text mining Process (engineering) business.industry Computer science media_common.quotation_subject Preprocessor Quality (business) business media_common
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783319911885 CSOS (2)
Popis:	Text mining is a relatively new area of computer science, and its use has grown immensely lately. The aim is to join two dataset from different data sources and to acquire information about percentage defects from the painting process, which are transmitted from the manufacturing to the end customers. The data sets are totally different and for their joining using text attributes, preprocessing are needed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a37dbf521f8a17b0b0d8d56c060fc539 https://doi.org/10.1007/978-3-319-91189-2_4 Zobrazit plný text záznamu