Details

Title

Application of Expectation Maximization Method for Purchase Decision-Making Support in Welding Branch

Journal title

Management and Production Engineering Review

Yearbook

2016

Numer

No 2

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management

Date

2016

Identifier

ISSN 2080-8208 ; eISSN 2082-1344

References

Abbas (2008), Comparisons between data clustering algorithms of, Int Arab Inf Tech, 5, 320. ; Grudzień (2016), Information quality in design process documentation of quality management systems of, Int J Inf Man, 36, 599, doi.org/10.1016/j.ijinfomgt.2016.03.011 ; Rogalewicz (2012), Selection of data mining method for multidimensional evaluation of the manufacturing process state and, Man Prod Eng Review, 3, 27. ; Janćikova (2008), Application of artificial intelligence methods for prediction of steel mechanical properties, Metalurgija, 47, 339. ; Sika (2008), Implementation of the KMES Quality system for data acquisition and processing on the example of chosen foundry of Foundry, Arch, 8, 97. ; Stachowiak (2014), An Interval - Valued Fuzzy Classi er Based on an Uncertainty - Aware Similarity Measure Intelligent Systems Advances in Intelligent Systems and Computing, Springer, 32, 741. ; Chai (2013), Application of decisionmaking techniques in supplier selection : A systematic review of literature with, Exp Sys Appl, 40, 3872, doi.org/10.1016/j.eswa.2012.12.040 ; Murtagh (2012), Algorithms for hierarchical clustering : an overview Data Mining and Know, Rev Disc, 2, 86. ; Cao (2010), Domain - driven Data Mining : challenges and prospects and Data IEEE, Know Eng Trans, 22, 755, doi.org/10.1109/TKDE.2010.32 ; Popat (2014), Review and comparative study of clustering techniques of and, Int J Comp Inf Tech, 5, 805.

DOI

10.1515/mper-2016-0014

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