Difference between revisions of "DataMining/spring2020"
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|description= Data mining is concerned with the extraction of information from large amounts of data. This project-based course introduces the concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, classification, clustering, evaluation and validation, and data mining applications. | |description= Data mining is concerned with the extraction of information from large amounts of data. This project-based course introduces the concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, classification, clustering, evaluation and validation, and data mining applications. | ||
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+ | == Slides and Examples == |
Revision as of 10:36, 9 January 2020
Course Information
Code | CSC3140 |
Name | Data Mining |
Credit(s) | 3 |
Prerequisites | CSC313 and MTH321 |
Offered | Every Spring |
Catalog Description | Data mining is concerned with the extraction of information from large amounts of data. This project-based course introduces the concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, classification, clustering, evaluation and validation, and data mining applications. |
Syllabus | Spring 2020 Syllabus |
Other Offerings | DataMining/offerings |