Data Mining Techniques for Predicting Breast Cancer Survivability Among Women in the United States

One of 2 posters in the series: UNT Graduate Exhibition available on this site.

PDF Version Also Available for Download.

Description

Poster for the 2014 UNT Graduate Exhibition in the Computer Science and Information Technology category. This poster discusses data mining techniques for predicting breast cancer survivability among women in the United States.

Physical Description

1 p.

Creation Information

Alshammari, Sultanah M.; Shah, Tawfiq M. & Huang, Yan March 1, 2014.

Context

This poster is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 1873 times, with 18 in the last month. More information about this poster can be viewed below.

Who

People and organizations associated with either the creation of this poster or its content.

Authors

Provided By

UNT College of Engineering

The UNT College of Engineering strives to educate and train engineers and technologists who have the vision to recognize and solve the problems of society. The college comprises six degree-granting departments of instruction and research.

Contact Us

What

Descriptive information to help identify this poster. Follow the links below to find similar items on the Digital Library.

Titles

  • Main Title: Data Mining Techniques for Predicting Breast Cancer Survivability Among Women in the United States
  • Series Title: UNT Graduate Exhibition

Degree Information

Description

Poster for the 2014 UNT Graduate Exhibition in the Computer Science and Information Technology category. This poster discusses data mining techniques for predicting breast cancer survivability among women in the United States.

Physical Description

1 p.

Source

  • UNT Graduate Exhibition, 2014, Denton, Texas, United States

Language

Item Type

Identifier

Unique identifying numbers for this poster in the Digital Library or other systems.

Collections

This poster is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this poster?

When

Dates and time periods associated with this poster.

Creation Date

  • March 1, 2014

Added to The UNT Digital Library

  • March 14, 2014, 8:48 a.m.

Description Last Updated

  • Feb. 25, 2020, 9:14 a.m.

Usage Statistics

When was this poster last used?

Yesterday: 1
Past 30 days: 18
Total Uses: 1,873

Interact With This Poster

Here are some suggestions for what to do next.

Enlarge

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Alshammari, Sultanah M.; Shah, Tawfiq M. & Huang, Yan. Data Mining Techniques for Predicting Breast Cancer Survivability Among Women in the United States, poster, March 1, 2014; (https://digital.library.unt.edu/ark:/67531/metadc277303/: accessed February 6, 2023), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

Back to Top of Screen