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The purpose of this paper is to discover useful hidden patterns from fabric data to reduce the amount of defective goods and increase overall quality.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>This research examines the improvement of manufacturing process via DM techniques. The paper explores the use of different preprocessing and DM techniques (rough sets theory, attribute relevance analysis, anomaly detection analysis, decision trees and rule induction) in carpet manufacturing as the real world application problem. SPSS Clementine Programme, Rosetta Toolkit, ASP (Active Server Pages) and VBScript programming language are used.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The most important variables of attributes that are effective in product quality are determined. A decision tree (DT) and decision rules are generated. Therefore, the faults in the process are detected. An on\u2010line programme is generated and the model's results are used to ensure the prevention of faulty products.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>In time, this model will lose its validity. Therefore, it must be redeveloped periodically.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>This study's productivity can be increased especially with the help of artificial intelligence technology. This research can also be applied to different industries.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The size and complexity of data make extraction difficult. Attribute relevance analysis is proposed for the selection of the attribute variables. The knowledge discovery in databases process is used. In addition, the system can be followed on\u2010line with this interactive ability.<\/jats:p><\/jats:sec>","DOI":"10.1108\/02635571211264618","type":"journal-article","created":{"date-parts":[[2014,1,23]],"date-time":"2014-01-23T20:31:28Z","timestamp":1390509088000},"page":"1181-1200","source":"Crossref","is-referenced-by-count":12,"title":["Enhancing product quality of a process"],"prefix":"10.1108","volume":"112","author":[{"given":"Cebrail","family":"\u00c7iflikli","sequence":"first","affiliation":[]},{"given":"Esra","family":"Kahya\u2010\u00d6zyirmidokuz","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"doi-asserted-by":"crossref","unstructured":"Berry, M.W. (2006), Lecture Notes in Data Mining, World Scientific, Singapore.","key":"key2022021320411187200_b50","DOI":"10.1142\/6103"},{"unstructured":"Berry, M.J.A. and Linoff, G.S. 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