Asee peer logo

A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course

Download Paper |

Conference

2011 ASEE Annual Conference & Exposition

Location

Vancouver, BC

Publication Date

June 26, 2011

Start Date

June 26, 2011

End Date

June 29, 2011

ISSN

2153-5965

Conference Session

Computer Science Applications

Tagged Division

Computers in Education

Page Count

11

Page Numbers

22.85.1 - 22.85.11

Permanent URL

https://peer.asee.org/17367

Download Count

33

Request a correction

Paper Authors

biography

Dan Li Northern Arizona University

visit author page

Dr. Dan Li received her Ph.D. degree in Computer Science from the University of Nebraska - Lincoln, in 2005. She is currently an Assistant Professor in the Electrical Engineering & Computer Science Department at the Northern Arizona University. Her current research interests include large-scale databases, spatio-temporal data mining, information security, and computer science education.

visit author page

Download Paper |

Abstract

A  Practice-­‐Oriented  Approach  to  Teaching  Undergraduate  Data  Mining  Course  Data  mining  is  a  fast-­‐growing  field  of  study  in  Computer  Science  and  Information  Systems.  Many  schools  have  developed  data  mining  course  for  undergraduate  students.    The  course  content  has  been  well  defined  and  streamlined  because  of  the  availability  of  outstanding  data  mining  textbooks.  However,  the  focus  on  theoretical  content  of  data  mining  makes  it  hard  for  undergraduate  students  to  digest,  and  thus,  compromises  the  overall  learning  outcomes.  To  create  an  effective  and  dynamic  learning  environment,  we  introduce  a  practice-­‐oriented  approach.  This  paper  describes  how  we  use  the  open-­‐source  data  mining  tool,  RapidMiner,  to  enhance  the  learning  of  the  core  data  mining  topics  including  data  preprocessing,  association  mining,  classification  for  prediction,  and  cluster  analysis.  The  hands-­‐on  experience  provides  students  a  greater  insight  into  data  mining  algorithms  and  functionalities.

Li, D. (2011, June), A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. https://peer.asee.org/17367

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2011 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015