From SSKE
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| − | = | + | <span style="font-size:large">[[SSKE Knowledge/isPartOfProgram::Service Engineering and Management (SEM) Master Program]]<br/></span> |
| − | = | + | <span style="font-size:large">Data Mining and Data Warehousing Course</span> |
| − | <p style="text-align: justify"><font size="3">This course presents technologies, methods and algorithms for knowledge data discovery (date mining).</font> <font size="3">The course presents various classes of problems and their specific algorithms. Some elements of Business Intelligence are also presented as this domain is close connected with data mining and OLAP.</font> <font size="3">The last part of the course describes the multidimensional model of data and its usage in storing data using data warehouses.</font></p><p style="text-align: justify"> | + | <p style="text-align: justify"><font size="3">This course presents technologies, methods and algorithms for knowledge data discovery (date mining).</font> <font size="3">The course presents various classes of problems and their specific algorithms. Some elements of Business Intelligence are also presented as this domain is close connected with data mining and OLAP.</font> <font size="3">The last part of the course describes the multidimensional model of data and its usage in storing data using data warehouses.</font></p><p style="text-align: justify"></p><p style="text-align: justify">[[SSKE Knowledge/isTaughtBy::Radulescu, Florin| ]][[SSKE Knowledge/isPartOfProgram::Service Engineering and Management (SEM) Master Program| ]]</p><p style="text-align: justify"></p> |
| + | [[Category:SSKE Knowledge/University Course|SSKE_Knowledge/University_Course]] | ||
Latest revision as of 21:41, 18 May 2012
Service Engineering and Management (SEM) Master Program
Data Mining and Data Warehousing Course
This course presents technologies, methods and algorithms for knowledge data discovery (date mining). The course presents various classes of problems and their specific algorithms. Some elements of Business Intelligence are also presented as this domain is close connected with data mining and OLAP. The last part of the course describes the multidimensional model of data and its usage in storing data using data warehouses.
