Sanati-Mehrizy, R., & Parkinson, K., & Vaziripour, E., & Minaie, A. (2019, June), Data Mining Course in the Undergraduate Computer Science Curriculum   Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32576

\bibitem{asee_peer_32576}
  Sanati-Mehrizy, R., \& Parkinson, K., \& Vaziripour, E., \& Minaie, A. (2019, June), \emph{Data Mining Course in the Undergraduate Computer Science Curriculum }
  Paper presented at 2019 ASEE Annual Conference \& Exposition , Tampa, Florida.
  10.18260/1-2--32576

Reza Sanati-Mehrizy, Kailee Parkinson, Elham Vaziripour, and Afsaneh Minaie.  "Data Mining Course in the Undergraduate Computer Science Curriculum ".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://peer.asee.org/32576 Internet.  13 Dec, 2024

\bibitem{asee_peer_32576}
  Reza Sanati-Mehrizy, Kailee Parkinson, Elham Vaziripour, and Afsaneh Minaie.
  "Data Mining Course in the Undergraduate Computer Science Curriculum ".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://peer.asee.org/32576 Internet.  13 Dec, 2024

@INPROCEEDINGS{asee_peer_32576
author = "Reza Sanati-Mehrizy, Kailee Parkinson, Elham Vaziripour, and Afsaneh Minaie"
title = "Data Mining Course in the Undergraduate Computer Science Curriculum "
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/32576}
number = {10.18260/1-2--32576}
}

TY  - CPAPER
AB  - Abstract
Data mining combines tools from statistics, neural networks, and machine learning with database management to analyze large data sets. It is a well-researched area of computer science with high demand due to its usefulness in any field with large quantities of data, where meaningful patterns and rules can be extracted. Therefore, many organizations and businesses can benefit from data mining techniques, as these organizations record a massive amount of data daily. 
The field of Data Mining is growing rapidly and there is increasing interest in providing students with a foundation in this area.  It is crucial that the emerging field of Data Mining be integrated into the Computer Science curricula.
This paper will study different approaches that are used by different institutions of higher education to integrate Data Mining concepts into their curriculum. And finally makes recommendation that how it should be taught in undergraduate computer science program and what to include in that course(s) in general and specifically in our institution.

AU  - Reza Sanati-Mehrizy
AU  - Kailee Parkinson
AU  - Elham Vaziripour
AU  - Afsaneh Minaie
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - Data Mining Course in the Undergraduate Computer Science Curriculum 
UR  - https://peer.asee.org/32576
DO  - 10.18260/1-2--32576
ER  -