✦ LIBER ✦

Discovering Correlated Parameters in Semiconductor Manufacturing Processes: A Data Mining Approach

✍ Scribed by Casali, A.; Ernst, C.

Book ID: 114669528
Publisher: IEEE
Year: 2012
Tongue: English
Weight: 382 KB
Volume: 25
Category: Article
ISSN: 0894-6507
DOI: 10.1109/tsm.2011.2171375

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A data mining approach considering missi

A data mining approach considering missing values for the optimization of semiconductor-manufacturing processes

✍ Doh-Soon Kwak; Kwang-Jae Kim 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 449 KB

Data mining in manufacturing: significan

Data mining in manufacturing: significance analysis of process parameters

✍ Perzyk, M; Biernacki, R; Kozlowski, J 📂 Article 📅 2008 🏛 SAGE Publications 🌐 English ⚖ 638 KB

An augmented neural network classificati

An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters

✍ Zobel *, Christopher W.; Cook, Deborah F.; Nottingham, Quinton J. 📂 Article 📅 2004 🏛 Taylor and Francis Group 🌐 English ⚖ 384 KB

A data mining approach to the causal ana

A data mining approach to the causal analysis of product faults in multi-stage PCB manufacturing

✍ Hyunsik Sim,Doowon Choi,Chang Ouk Kim 📂 Article 📅 2014 🏛 Korean Society for Precision Engineering 🌐 English ⚖ 337 KB

[Lecture Notes in Computer Science] Mach

[Lecture Notes in Computer Science] Machine Learning and Data Mining in Pattern Recognition Volume 6871 || GENCCS: A Correlated Group Difference Approach to Contrast Set Mining

✍ Perner, Petra 📂 Article 📅 2011 🏛 Springer Berlin Heidelberg ⚖ 322 KB

Data mining of fractured experimental da

Data mining of fractured experimental data using neurofuzzy logic–discovering and integrating knowledge hidden in multiple formulation databases for a fluid-bed granulation process

✍ Q. Shao; R.C. Rowe; P. York 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 144 KB

In the pharmaceutical field, current practice in gaining process understanding by data analysis or knowledge discovery has generally focused on dealing with single experimental databases. This limits the level of knowledge extracted in the situation where data from a number of sources, so called fra