Question 1 Advanced Manufacturing Research Center Amrc Sheffield Defines Manufacturing Inf Q43903804
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Question 1. (a) The Advanced Manufacturing Research Center (AMRC) Sheffield defines Manufacturing Informatics as a part of the wider digital manufacturing thread, encompassing the Internet of Things (IoT), Big Data and data-driven manufacturing technologies. Based on our understanding through the module, what is the research focus of Manufacturing Informatics and its major elements? [10 marks] (b) in the manufacturing context. there exists a wide range of manufacturing information systems which are used to collect a large variety of manufacturing related data, from engineering design to product end-of-life. Suggest at least three types of such information systems and elaborate their major functions. [9 marks] (c) Feature Selection, also known as attribute selection or variable selection, is a common technique used in the preprocessing of data mining. Generally, it aims to select a subset of relevant features that are used for model building. Articulate at least two prevailing feature selection approaches and explain the major benefits of feature selection in the context of the ENT608 Mini KDD project with which you had worked. [6 marks] Show transcribed image text Question 1. (a) The Advanced Manufacturing Research Center (AMRC) Sheffield defines Manufacturing Informatics as a part of the wider digital manufacturing thread, encompassing the Internet of Things (IoT), Big Data and data-driven manufacturing technologies. Based on our understanding through the module, what is the research focus of Manufacturing Informatics and its major elements? [10 marks] (b) in the manufacturing context. there exists a wide range of manufacturing information systems which are used to collect a large variety of manufacturing related data, from engineering design to product end-of-life. Suggest at least three types of such information systems and elaborate their major functions. [9 marks] (c) Feature Selection, also known as attribute selection or variable selection, is a common technique used in the preprocessing of data mining. Generally, it aims to select a subset of relevant features that are used for model building. Articulate at least two prevailing feature selection approaches and explain the major benefits of feature selection in the context of the ENT608 Mini KDD project with which you had worked. [6 marks]
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Answer to Question 1. (a) The Advanced Manufacturing Research Center (AMRC) Sheffield defines Manufacturing Informatics as a part …
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