Li, D. (2011, June), A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course  Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--17367

\bibitem{asee_peer_17367}
  Li, D. (2011, June), \emph{A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course}
  Paper presented at 2011 ASEE Annual Conference \& Exposition, Vancouver, BC.
  10.18260/1-2--17367

Dan Li.  "A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course".  2011 ASEE Annual Conference & Exposition, Vancouver, BC, 2011, June.  ASEE Conferences, 2011.  https://peer.asee.org/17367 Internet.  04 Dec, 2024

\bibitem{asee_peer_17367}
  Dan Li.
  "A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course".
  \emph{2011 ASEE Annual Conference \& Exposition, Vancouver, BC, 2011, June}.
  ASEE Conferences, 2011.
  https://peer.asee.org/17367 Internet.  04 Dec, 2024

@INPROCEEDINGS{asee_peer_17367
author = "Dan Li"
title = "A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course"
booktitle = "2011 ASEE Annual Conference \& Exposition"
year = "2011"
month = "June"
address = "Vancouver, BC"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/17367}
number = {10.18260/1-2--17367}
}

TY  - CPAPER
AB  - 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.
AU  - Dan Li
CY  - Vancouver, BC
DA  - 2011/06/26
PB  - ASEE Conferences
TI  - A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course
UR  - https://peer.asee.org/17367
DO  - 10.18260/1-2--17367
ER  -