• Dr. Yogesh Kumar Sharma
• Miss Sunita kumari

Information digging offers devices for revelation of connections, examples, and learning in extensive databases. The learning extraction process is computationally unpredictable and in this manner a subset of all information is typically considered for mining. In this paper, various strategies for deterioration of informational collections are talked about. Deterioration upgrades the nature of learning removed from huge databases by rearrangements of the information mining task. The thoughts gave are shown precedents and a modern contextual investigation. For the situation contemplate detailed in this paper, an information mining approach is connected to remove learning from an informational index. The extricated information is utilized for the expectation and aversion of assembling shortcomings in wafers.

Data mining, decision making, decomposition, integrated circuit, quality engineering.

"Data mining techniques in Industrial Engineering: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.18-31, June 2019, Available :http://www.jetir.org/papers/JETIR1906N61.pdf

"Data mining techniques in Industrial Engineering: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp18-31, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N61.pdf