Difference between revisions of "DataMining/spring2020"

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(Slides and Examples)
 
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* [http://www.dataminingbook.info/pmwiki.php/Main/BookPathUploads?action=download&upname=slides-chap2.pdf Chapter 2 Slides]
 
* [http://www.dataminingbook.info/pmwiki.php/Main/BookPathUploads?action=download&upname=slides-chap2.pdf Chapter 2 Slides]
 
* [[media:CSC314-Spring2020-Iris-EDA-2.pdf|Iris EDA part 2]]
 
* [[media:CSC314-Spring2020-Iris-EDA-2.pdf|Iris EDA part 2]]
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* [[media:CSC314-Spring2020-Iris-Categorical-EDA.pdf|Iris Categorical EDA]]
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* [[media:CSC314-Spring2020-EigenPets-Part1.pdf|Eigen Pets Part 1]]
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* [http://www.dataminingbook.info/pmwiki.php/Main/BookPathUploads?action=download&upname=slides-chap8.pdf Chapter 8 - Itemset Mining]
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* [[media:CSC314-Spring2020-Itemset.pdf|Itemset Mining]]
  
 
== Homework ==
 
== Homework ==
 
* [[DataMining/spring2020/hw1| Homework 1]] (due January 30)
 
* [[DataMining/spring2020/hw1| Homework 1]] (due January 30)
 
* [[DataMining/spring2020/hw2| Homework 2]] (due February 11)
 
* [[DataMining/spring2020/hw2| Homework 2]] (due February 11)
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* [[DataMining/spring2020/hw3| Homework 3]] (due March 5)
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== Projects ==
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* [[DataMining/spring2020/project1| Project 1]] (Due March 10)

Latest revision as of 12:05, 3 March 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

Materials and Links

Slides and Examples

Homework

Projects