GIMAS9ADx Data Analysis and Data Mining
| ECTS Credits : 4 ECTS Duration : 42 heures | Semester : S9 | ||
Person(s) in charge: Sandie FERRIGNO, Associate Professor, Sandie.Ferrigno@mines-nancy.univ-lorraine.fr | ||||
Keywords: Data Analysis and Data Mining | ||||
Prerequisites: Basic notions of SAS software, Stochastic Analysis and Statistics | ||||
Objective: Data analysis methods and Data Mining | ||||
Program and contents: Objectifs pédagogiques In 70-80 years, the development of computers has led to the storage of information in the most classic form was the one that matched data tables, usually of large dimensions. In many areas (geology, meteorology, medicine, economics, marketing, quality control, pattern recognition ...), data analysis allowed to leverage this information to synthesize, to serve as the basis for a decision process, or more generally to understand somehow the nature of the phenomena underlying the data. Since the 90s, systematic digitization of information that organizations, public or private, accumulate massive amounts of information stored in digital databases, amorphous and dynamic, data made of numbers, texts, images, sounds, etc. Data Mining is an "industrialization" of the data analysis to enable effective operation of the enterprise information capital. Contents - Program
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Levels | Description and operational verbs | |||
Know |
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Understand |
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Apply |
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Analyze |
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Summarise |
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