Veri Madenciliği Üzerine Endüstriyel Bir Durum Çalışması

<div> <div> <div> <div> <p><b>Title </b></p> <p>An Industrial Case Study on Data Mining </p><p><br></p> <p><b>Abstract </b></p> <p>Nowadays, companies are looking for solutions to eliminate stops in production and maintain their sustainability in the market. In order to increase productivity, all production processes must be non-stop. To attain this goal, it is imperative to convert the industrial machine data into information. In this study, data mining algorithms which analyze the information obtained from cold forging machines are studied. According to the results, it is thought that this work can be a promising method in reducing the number of working stops in cold forging machines. </p><p><br></p><p> </p><div> <div> <div> <div> <p><b>Editor: </b>H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey<br><b> Received: </b>August 19, 2018, <b>Accepted:</b> October 18, 2018, <b>Published: </b>November 10, 2018 </p> <p><b>Copyright: </b>© 2018 IMISC Türkoğlu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. </p> </div> </div> </div> </div> </div> </div> </div> </div>