View source for DataMining/spring2020

{{DISPLAYTITLE:CSC314 - Data Mining (Spring 2020)}}

== Course Information ==
{{Course
  |code=CSC3140
  |name=Data Mining
  |prereq=CSC313 and MTH321
  |offered=Every Spring
  |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=[[media:RobertLowe-CSC314-Spring2020-01.pdf|Spring 2020 Syllabus]]
}}

== Materials and Links ==
* [http://www.dataminingbook.info/ Data Mining and Analysis Fundamental Concepts and Algorithms]] by  Mohammed J. Zaki Wagner Meira, Jr.
* [http://cs.maryvillecollege.edu/signup Sign Up for a Shell Account]
* [http://rstudio.cs.maryvillecollege.edu/ R-Studio]
* [https://learnxinyminutes.com/docs/r/ Learn R in 15 Minutes]

== Slides and Examples ==
* [[media:CSC314-Spring2020-01-Introduction-handout.pdf|Introduction]]
* [[media:CSC314-Spring2020-chap1.pdf|Chapter 1 Slides]]
* [[media:CSC314-Spring2020-Iris-EDA-1.pdf|Introduction to R and Iris EDA part 1]]
* [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-Categorical-EDA.pdf|Iris Categorical EDA]]

== Homework ==
* [[DataMining/spring2020/hw1| Homework 1]] (due January 30)
* [[DataMining/spring2020/hw2| Homework 2]] (due February 11)