Experimental Data Mining Techniques(Using Multiple Statistical Methods)
This paper discusses the possible solutions of non-linear multivariable by experimental Data mining techniques using on orthogonal array. Taguchi method is a very useful technique to reduce the time and cost of the experiment but the ignoring all kind of interaction effects. The results are not much encouraging and motivate to study Laser cutting process of non-linear multivariable is modeled by one and two way analysis of variance also linear and non linear regression analysis. These techniques are used to explore better analysis techniques and improve the laser cutting quality by reducing process variations caused by controllable process parameters. The size of data set causes difficulties in modeling and simulation of the problem such as decision tree is useful technique but it is not able to predict better results. The results of analysis of variance are encouraging. Taguchi and regression normally optimizes input process parameters for single characteristics.
Keywords: Laser cutting, Quality, Statistical Methods, ANOVA, Linear Regression.
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ABOUT THE AUTHORS
Mustafa Zaidi
Syed Mustafa Ali Zaidi is a full time research scholar at the Faculty of Computing, Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST), Karachi, Pakistan. He received a Master of Applied Physice degree from Karachi University in 1994, Master of Power engineering degree from NED Karachi in 1997 and Master of Computer Science degree from SZABIST in 2010. He has received merit scholarship during the Master degrees and currently receiving scholarship for Ph.D. from Higher education commission Pakistan. His research interests include Computer Networks, Communication Systems optimization of multivariable quality characteristics using statistical and machine learning tools. He is currently a member of IEEE.
Bushra A. Saeed
Dr. Saeed is an Associate Professor and Head of Bioscience department at SZABIST. She completed her PhD in Biotechnology from the University of Karachi and her Post Doctorate from Cornell University, USA. Her research interest involves utilizing Statistical tools to manipulate date generated from Stem Cell Research and Plant Tissue Culture. Her field of specialization involve molecular tools for DNA screening.
I. Amin
Dr. Imran Amin received PhD in from Mechatronics from Loughborough University, UK in 2007. He is the Head of CRER and is the managing editor of the Journal of Independent Studies and Research - Computing (JISR-C). His areas of interest are Mechatronic Systems, Artificial Intelligence, Laser cutting, Computer vision, Automation, Embedded systems and Robotics.
Nukman Yusoff
Dr. Nukman Bin Yusoff is currently designated as Associate Professor in the Department of Engineering Design & Manufacture, University of Malaya (UM), Malaysia. He is actively doing research in the field of Laser Materials Processing, CAD/CAM, CNC and Manufacturing Process and Management. He acquired his PhD from Loughborough University in 2009 and Master in Engineering Science, MSc. (Mechatronics) from DeMontFort University, Leicester United Kingdom in 1998. Since then he has been teaching undergraduate in the field of CAD/CAM, Manufacturing and graduate level teaching since 2007. He published more than twenty papers and articles in different international, regional and national journals, conference proceedings and bulletins and co-author of two technical books.
Mustafa Zaidi
Syed Mustafa Ali Zaidi is a full time research scholar at the Faculty of Computing, Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST), Karachi, Pakistan. He received a Master of Applied Physice degree from Karachi University in 1994, Master of Power engineering degree from NED Karachi in 1997 and Master of Computer Science degree from SZABIST in 2010. He has received merit scholarship during the Master degrees and currently receiving scholarship for Ph.D. from Higher education commission Pakistan. His research interests include Computer Networks, Communication Systems optimization of multivariable quality characteristics using statistical and machine learning tools. He is currently a member of IEEE.
Bushra A. Saeed
Dr. Saeed is an Associate Professor and Head of Bioscience department at SZABIST. She completed her PhD in Biotechnology from the University of Karachi and her Post Doctorate from Cornell University, USA. Her research interest involves utilizing Statistical tools to manipulate date generated from Stem Cell Research and Plant Tissue Culture. Her field of specialization involve molecular tools for DNA screening.
I. Amin
Dr. Imran Amin received PhD in from Mechatronics from Loughborough University, UK in 2007. He is the Head of CRER and is the managing editor of the Journal of Independent Studies and Research - Computing (JISR-C). His areas of interest are Mechatronic Systems, Artificial Intelligence, Laser cutting, Computer vision, Automation, Embedded systems and Robotics.
Nukman Yusoff
Dr. Nukman Bin Yusoff is currently designated as Associate Professor in the Department of Engineering Design & Manufacture, University of Malaya (UM), Malaysia. He is actively doing research in the field of Laser Materials Processing, CAD/CAM, CNC and Manufacturing Process and Management. He acquired his PhD from Loughborough University in 2009 and Master in Engineering Science, MSc. (Mechatronics) from DeMontFort University, Leicester United Kingdom in 1998. Since then he has been teaching undergraduate in the field of CAD/CAM, Manufacturing and graduate level teaching since 2007. He published more than twenty papers and articles in different international, regional and national journals, conference proceedings and bulletins and co-author of two technical books.
